Wireless Sensor Networks (WSNs) have been primarily introduced for defense application using a large number of wireless sensor nodes (SNs) and a Base Station (BS) to collect information from all SNs, making them useful for many civilian applications. A SN typically combines wireless radio transmitter-receiver and limited computation facilities with sensing of some physical phenomenon using different types of transducers. As there are many physical quantities to be monitored, different types of transducers are needed and possible use of sensors in various application areas are discussed first. Various characteristics of WSNs are covered. Specific details of energy consumption in functional units of MICA2 under different operating conditions are summarized. It is clear that more power is consumed in data communication as compared to local computation. With increased use of WSNs in civilian applications, there is a need to learn about how WSNs can be used as sensed area is easily accessible and SNs can be placed wherever desired. Potential use of SNs in indicating the physiological condition of a soldier is also presented. Boundary of a wild forest fire is determined. Analytical model is introduced and obtained curves are compared with simulation results. Secured communication in a WSN is an important aspect ignored by researchers and an innovative technique of distributing keys for shared secret key based communication is described and various characteristics including resiliency are outlined. The need for layered sensing in providing security is also investigated and various alternatives in providing different levels of security are also investigated. Finally, applications of WSNs in unusual areas are also discussed.

Dharma P. Agrawal is the Ohio Board of Regents Distinguished Professor and the founding director for the Center for Distributed and Mobile Computing in the School of Computing Sciences and Informatics. He has been a faculty member at the ECE Dept., Carnegie Mellon University (on sabbatical leave), N.C. State University, Raleigh and the Wayne State University. His current research interests include resource allocation in wireless mesh networks, query processing and secured communication in sensor networks, environmental monitoring using sensor networks, and effective traffic handling in integrated wireless networks. His recent contribution in the form of a co-authored introductory text book on Wireless and Mobile Computing has been widely accepted throughout the world and third edition has been published. The book has been has been reprinted both in China and India and translated in to Korean and Chinese languages. His co-authored book on Ad hoc and Sensor Networks, 2nd edition, has been published in spring of 2011. A co-edited book entitled, Encyclopedia on Ad Hoc and Ubiquitous Computing, has been published by the World Scientific and co-authored books entitled Wireless Sensor Networks: Deployment Alternatives and Analytical Modeling, and Innovative Approaches to Spectrum Selection, Sensing, On-Demand Medium Access in Heterogeneous Multihop Networks, and Sharing in Cognitive Radio Networks have being published by Lambert Academic. He is a founding Editorial Board Member, International Journal on Distributed Sensor Networks, International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC), International Journal of Ad Hoc & Sensor Wireless Networks and the Journal of Information Assurance and Security (JIAS). He has served as an editor of the IEEE Computer magazine, the Journal of Parallel and Distributed Systems, the IEEE Transactions on Computers and the International Journal of High Speed Computing. He has been the Program Chair and General Chair for numerous international conferences and meetings. He has received numerous certificates from the IEEE Computer Society. He was awarded a Third Millennium Medal, by the IEEE for his outstanding contributions. He has delivered keynote speech at 26 different international conferences. He has published over 610 papers, given 38 different tutorials and extensive training courses in various conferences in USA, and numerous institutions in Taiwan, Korea, Jordan, UAE, Malaysia, and India in the areas of Ad hoc and Sensor Networks and Mesh Networks (including Globecom 2011 and ICC 2012). He has graduated 62 PhDs and 51 MS students. He has been named as an ISI Highly Cited Researcher, is a Fellow of the IEEE, the ACM, the AAAS and the World Innovation Foundation, and a recent recipient of 2008 IEEE CS Harry Goode Award. In June 2011, he was selected as the best Mentor for Doctoral Students at the University of Cincinnati. In 2012, he was selected as a Founding fellow of the National Academy of Inventors.

Today Network operators and service providers are facing challenges in hosting different services on to data centers with increasing demands of video streaming, VOIP, Big data processing, social networking and other internet applications. Cloud computing is evolving to host the services on to high volume servers with IT virtualization technologies. Network Function Virtualization (NFV) had emerged as operator’s proposal for offering network services with network functions implemented in software, which can run on Virtual Machines (VMs) with the advent of Server virtualization. There by dynamic networking is evolved through elasticity and agility in launching the services apart from reducing the CAPEX and OPEX. Software defined Networking (SDN) had evolved as Data center (DC) technology to achieve network abstraction with the network services coming up and going down dynamically in the cloud based on the demand. Open flow Infrastructure had come big in a way to separate the control plane functionality from forwarding to compliment NFV, where network intelligence and state are centralized in the form of controller. Key challenges in the cloud with distributed network services are related to Orchestration of services, traffic flow control, security, scalability and performance. This session mainly focuses on advancements and research aspects in cloud computing with respect to networking services (NaaS), Infrastructure (IaaS) and provides more insight on architectural frameworks of Network function virtualization with Software defined networking for addressing the challenges of next generation networks.

Laxman B is Technical Program management Engineer in Freescale and currently focusing in developing architecture & POC for cloud Data center High end compute node on Freescale next generation platforms. He has 15+years of experience in networking, Data communication and bringing wide range of networking products for different segments: DSL Routers, L2/L3 Switches, RG/SOHO, SMB, Enterprise routers, and cloud computing NFV solutions on different multicore platforms. He holds Diploma in Computer science from A.A.N.M and V.V.R.S.R Polytechnic and Bachelor of Engineering in Computer science from Sri Venkateswara college of Engineering, Madras University. He is speaker at various national and international conferences. Freescale is a member of Open Networking Foundation (ONF) and ETSI ISG. He is an active member of Open Networking Foundation (ONF) workgroups (WG) and NFV.

This tutorial will present the state-of-the-art in the field of "Optical networks" and emphasize the relevance of optical networks to Future Internet architectures. Optical networks encompass traditional networks operating on optical fiber as well as wavelength division multiplexed (WDM) networks. The topics which will be covered in this tutorial include optical network architectures, design, modeling and operation, optical network survivability and optical network simulation tools.The tutorial will also cover the role of optical networking in architectures for the Future Internet proposed recently such as the MobilityFirst architecture.

Prof. Dr. Byrav Ramamurthy received his B.Tech. degree in Computer Science from Indian Institute of Technology, Madras (India) in 1993. He received his M.S. and Ph.D. degrees in Computer Science from University of California (UC), Davis in 1995 and 1998, respectively. Byrav Ramamurthy is currently a Professor in the Department of Computer Science and Engineering at the University of Nebraska-Lincoln (UNL). He is the author of the book "Design of Optical WDM Networks - LAN, MAN and WAN Architectures" and a co-author of the book "Secure Group Communications over Data Networks" published by Kluwer Academic Publishers/Springer in 2000 and 2004 respectively. He serves as the Chair of the IEEE Communication Society's Optical Networking Technical Committee (ONTC). He served as the IEEE INFOCOM 2011 TPC Co-Chair. He is a co-editor of the book "Next-Generation Internet: Architectures and Protocols" published by Cambridge University Press in 2011. He serves as the Co-PI and UNL PI for the NSF-funded Rutgers-led "MobilityFirst" project on Future Internet Architectures. His research areas include optical and wireless networks, peer-to-peer networks for multimedia streaming, network security and telecommunications. His research work is supported by the U.S. National Science Foundation, U.S. Department of Energy, U.S. Department of Agriculture, NASA, AT&T Corporation, Agilent Tech., Ciena, HP and OPNET Inc.

In recent times, the demands from users and the requirements from the Internet have changed dramatically. Today, huge amount of data is being generated and shared among the users in the form of social networks, online streaming, live TV/videos, online gaming, sensor networks, etc. Accessing such huge amount of data brings up at least two key problems: (i) huge bandwidth requirement in Internet core and access links and (ii) access delay. Both of these problems impact cost & service quality of the Internet access and resource utilization. Today, this is being handled by large content aggregators such as Google, Youtube etc., through large distributed data/cache centres, while at the same time telecom operators all over the world are forced to upgrade the access and core networks to meet this demand. Information/Content Centric Network (ICN/CCN) is an alternate approach to handle this data transfer in the Internet. The principle of ICN says that a communication network should allow a user to focus on the data that is required, while the network itself should be able to support the request with minimal strain on its resources. Since it is not be possible to have a clean slate architecture for the future Internet, the proposed solution should be deployable as an overlay network without bringing any significant changes in the existing infrastructure and should be able to address the twin problems identified above thoroughly. Along with ICN architecture, naming and routing of the ICN data, optimal and scalable content storage/caching, distribution, ensuring security and privacy to the contents are various challenges that need to be solved to build this future Internet. With a lot of data being transferred in wireless networks, the concept of ICN in wireless networks can also revolutionize the future Internet. In the recent times, ICN has gained special attention in the research and business community. IRTF has a dedicated ICN Research Group (ICNRG) for ICN research. ICN has been envisaged as a potential candidate for the future Internet. ICN is going to be an important technology for large content owners as well as the distributors.

Anantha, Member IEEE, is a Principal Research Scientist at CTO Networks Lab, TCS. After obtaining his MTech from IIT Madras, he has worked in the field of networking and communications for the last 30+ years. He has published several papers in various conferences and filed patents through TCS.

TBA

Vipin Tyagi is Innovation and Business Leader from Information Technology and Telecommunication Industry for over 3 decades. He had founded and led a Company in private sector working in area of broadband & telecom for 12 year as Board Member and Global CEO. He has developed global business through companies in India, Japan, Australia, USA and Europe. He has actively worked towards Research and Development of large systems, Organizational Development and creation of high erformance teams. In October, 2009, Vipin decided to promote National level R&D and joined C-DOT as Director.
He has worked on World's first VoD System, India's first indigenous G-PON Development, C-DOT Exchanges and Indigenous Message Switching System. He has been involved in Development of over 35 Products in area of Enterprise and Telecommunications Industry. He has worked in C-DOT, ECIL, Siemens Information Systems Ltd. and Network Programs Group of Companies. Presently he is involved in projects like NOFN, Network Security which are of strategic importance to the Country.
    He completed his education in Master of Technology (Computer Science and Engineering) from Indian Institute of Technology (IIT, Delhi) and Bachelor of Electronics & Communication Engineering and Post Graduate Diploma in Management.

As new approaches like Software-Defined Networking (SDN) or Named-Data Networking (NDN) appear to challenge the current way of building and operating networks, this talk will explore the future network architectures from the R&E perspective. The talk will also feature some of the ESnet explorations and experimentations in each of these areas.

Indermohan (Inder) S. Monga serves as the Division Deputy of Technology of Scientific Networking Division, Lawrence Berkeley National Lab and Chief Technologist and Area Lead of Research and Development at Energy Sciences Network. Mr. Monga plays a key role in developing and deploying advanced networking services for collaborative and distributed “big-data” science. Mr. Monga’s research interests include software-defined networking, network virtualization, software-defined exchanges, energy efficiency and distributed computing. Recently, he is working actively on research and technology development that focuses towards the broad adoption of SDN in the wide-area network including recent work on Transport SDN. He is also appointed as ONF Research Associate and contributes to SDN standards. He currently holds 17 patents and has over 15 years of industry and research experience in telecommunications and data networking at Wellfleet Communications, Bay Networks, and Nortel.

Photonics crystals are artificial materials that can control the flow of light and therefore can be used for various devices needed in optical communication. The photonics crystals can be 1D, 2D or 3D. The 1D photonic crystals are realized in the form of fiber Bragg gratings and have already become an important component of modern optical systems. The 2D photonics crystals are realized either in the form of Bragg or holy fibers or in a planar form. The 3D photonic crystals are used as an optical cavity. After a broad perspective of the photonic crystals, the talk will discuss in general the use of 2D photonic crystals and their defects, for realizing various functions in an optical network. Some efficient design approach for designing optical filters of various characteristics will also be discussed.

Dr. R.K. Shevgaonkar received his B.E. degree with Gold Medal in Electrical engineering from Jiwaji University, M.Tech. from IIT Kanpur and PhD. from IIT Bombay. He was a Scientist at Indian Institute of Astrophysics and Raman Research Institute. After doing his Post Doctoral fellowship at University of Maryland, USA, he joined IIT Bombay. He has occupied various positions at IIT Bombay like Dean of Students’ Affairs, Dean, Resource Mobilization, Head, Department of Electrical Engineering, Head, Centre for Distance Engineering Education Programme, and Deputy Director. He was the Vice Chancellor of University of Pune and presently he is the Director of IIT Delhi. He has been a Visiting Professor at University of Lincoln, USA, and ETH, Zurich, Switzerland, and ISEP Paris, France.
    Dr. Shevgaonkar has been an active researcher in the area of Optical communication, Image processing, Antennas, Microwaves, Radio astronomy etc. He has published more than 150 papers in international journals and conferences, and two books namely Electromagnetic Waves and Transmission lines for Electrical Engineers. He has guided 18 PhDs and more than 30 M.Tech. dissertations. His video and web lectures on Electromagnetics and Fiber optic communication are used worldwide through YouTube.
    Dr. Shevgaonkar is recipient of IEEE Undergraduate Teaching award 2011, IETE award for his outstanding contribution to Optical communication, and the ‘Excellence in Teaching’ award of IIT Bombay. He has received the Education Leadership Award 2012 from Headlines Today, New Delhi. He is also a recipient of VASVIK Award (2009) in the category of Information & Communication Technology, IETE – Ram Lal Wadhwa Award (2013) and IEEE William E. Sayle Award for Achievement in Education (2014). He is Fellow of IEEE, Fellow of Indian National Academy of Engineering, Fellow of National Academy of Science, India, Fellow of Institution of Electronics and Telecommunication Engineers, Fellow of Optical Society of India, Fellow of Institution of Engineers, Fellow of Maharashtra Academy of Sciences, and Member of International Astronomical Union and Astronomical Society of India. He has been a member of many international and national research and educational committees.

Due to technological advances, it has been a common practice for quite some time now to use embedded computers for the monitoring and control of physical processes/plants. These are essentially networked computer-based systems consisting of application-specific control-processing systems, actuators, sensors etc., used for digitally controlling physical systems within a defined geographical location such as power plants, chemical plants etc. Different terminologies like distributed control systems (DCS), cyber-physical systems (CPS), supervisory control and data acquisition systems (SCADA) etc., are used to denote the same. Technology has further made it possible to federate/ integrate heterogeneous (even built by different manufacturers) systems. While such capabilities have provided the needed flexibility and user convenience, it has also created challenges for system designers not only from the correctness point of view but also from the point of view of security and protection of the underlying physical plants. With the arrival of complex malwares, it has become very challenging to secure network and information systems from intruders and protect the systems from attackers. Recently, complex malwares like Stuxnet, Flame etc., have specifically targeted SCADA of public infrastructures like power grids/plants, and thus, bringing to the forefront the challenges in securing and protecting SCADA. The above mentioned malwares are horrendously complex and hence, need a wholesome approach for detection and protection. In these scenarios, apart from the classical IT security, there is a need to look at other plausible new attacks considering the domain of the physical systems and arrive at methods of protection and risk evaluation. In this talk, I shall discuss the challenges various domains in securing SCADA and highlight some of our work referred to as an algorithmic data-intensive approach (also referred to as Bigdata approach) for protecting and securing SCADA from attacks from malware in a wholesome manner.

R K Shyamasundar is a Fellow of IEEE, a Fellow of ACM, Distinguished ACM Speaker, a Distingusihed Alumnus of Indian Institute of Science, served as IEEE Distinguished Speaker. He is currently Senior Professor and JC Bose National Fellow at the Tata Institute of Fundamental Research. He is the founding Dean of the School of Technology and Computer Science. He has made outstanding contributions to Real-Time Distributed Computing, Logics of Programs, Network and Computer Security. His research interests include distributed real-time systems, Logics of Programs, Concurrent programming Languages, Formal Methods, Cyber Security etc. He has more than 300 publications, 8 books, 8 international patents, 3 Indian patents, and 3 Best Paper Awards. Thirty five students have completed Ph.D. under his guidance, has served on IEEE Standards and served as consultant to ESPRIT projects. He did post doctoral work under the legendary Turing Laureate Professor Dr. Edsgar Dijkstra and was a Distinguished Visiting fellow under Royal Academy of Engineering at the Computing Laboratory of University of Cambridge. He has served as Faculty/Staff at IBM TJ Research, Eindhoven University, State University of Utrecht, Pennsylvania State University, University of Illinois, University of California, San Diego at Lajolla, University of Cambridge, University of Linkoping, SUNU at Albany, UNM at Albuquerque, IRISA, INRIA, CWI, JAIST Japan, Max Planck Institute , IBM Research India etc.
    He was Founding Chair of conference series Foundations of Software Technology and Theoretical Computer Science (FSTTCS), founding President of Indian Association of Research in Computing Science (IARCS.), founding Dean of School of Technology and Computer Science and Founder of the Center for Formal Designa and verification of Software as a tri-partite center among BARC, TIFR and Iit Bombay) located at IIT Bombay. He serves on the Governing Council of IIIT Allahabad, IIIT Jabalpur, CSIR Centre CMMACS (now renamed Fourth Paradigm Insttitute), Bangalore , serves on the Technical Advisory Board of BSE (Bombay Stock Exchange), and Institute of Development and Research in Banking Technology (IDRBT) at Hyderabad.
    He has served on IEEE Esterel Standards Committee. He is a Fellow of the Computer Society of India (CSI), Editor-in-Chief of the CSI Journal of Computing and serves on the Editorial of Sadhana- Journal of Engineering Sciences of the Indian Academy of Sciences, Bangalore, India. He is also a Fellow of IETE and its Diamond Jubilee medal awardee.

Cloud computing is making its presence felt in India. Though, owing to uneven availability of bandwidth and of devices such as smart phones, tablets and laptops the use of cloud computing has yet to penetrate to the mass level. This is likely to change dramatically in the next 5-10 years with rapid proliferation of wireless data networks and of low-cost smart devices. As the cloud becomes mainstream in India, will the cloud serve our needs and aspirations as a sovereign people, or will we become subservient to the cloud?
    In this talk, we speculate on the cloud in India's future based on extrapolation of personal computing hardware trends. There are several possibilities including corporate, public and community clouds. Key to having a cloud that serves India is control and ownership of data. This gives rise to a number of technical challenges. We outline the changes needed in today's cloud to serve India in the decades ahead, changes that will provide many opportunities for researchers and industry.

Dr. Timothy A. Gonsalves: B.Tech. (Electronics) IIT-Madras; M.S. (Electrical Engg) Rice University, Houston; Ph.D.(Electrical Engg) Stanford University, California. Joined the Department of Computer Science & Engg, I.I.T., Madras as an Assistant Professor in 1989, rose to Professor and Head of the Department.
    Cofounder of the TeNeT Group of IIT-Madras, founding Director of NMSWorks Software Ltd, n-Logue Communications Ltd and the IIT-Madras Rural Technology Business Incubator (RTBI). In January 2010, was appointed as the first full-time Director of the Indian Institute of Technology, Mandi (Himachal Pradesh).
    Interests: design and performance of computer and telecom networks. With emphasis on innovative and low-cost product and technology development for Indian and international industry. Fostering software development in small towns and rural areas.

Cyber Physical System (CPS) is a system which integrates the cyber world with the physical world using sensors and actuators; CPS closes the loop in the Internet. Applications of CPS will be there in all walks of life: agriculture, power systems, medical systems and health care, transportation, finance, smart structures, and many more. Many believe that the impact of CPS would be as big or event bigger than the Internet.
    Internet of Things (IoT) is very closely related to CPS. In IoT everything and anything is Internet enabled. IoT can be viewed as convergence of Internet, signal processing, VLSI, communication and sensing. IoT has the same application domain as CPS.
    CPS and IoT offer many technological and mathematical challenges. In this talk we will look some of these challenges, the talk will also present some of the works on IoT being pursued at IIT Hyderabad in the area of health care, smart city , mobile communication, and IoT chip design.

Uday B. Desai received the B. Tech. degree from Indian Institute of Technology, Kanpur, India, in 1974, the M.S. degree from the State University of New York, Buffalo, in 1976, and the Ph.D. degree from The Johns Hopkins University, Baltimore, U.S.A., in 1979, all in Electrical Engineering.
    Since June 2009 he is the Director of IIT Hyderabad.
    From 1979 to 1984 he was an Assistant Professor in the School of Electrical Engineering and Computer Science Department at Washington State University, Pullman, WA, U.S.A., and an Associate Professor at the same place from 1984 to 1987. From 1987 to May 2009 he was a Professor in the Electrical Engineering Department at the Indian Institute of Technology - Bombay. He was Dean of Students at IIT-Bombay from Aug 2000 to July 2002. He has held Visiting Associate Professor's position at Arizona State University, Purdue University, and Stanford University. He was a visiting Professor at EPFL, Lausanne during the summer of 2002. From July 2002 to June 2004 he was the Director of HP-IITM R and D Lab. at IIT-Madras.
    His research interest is in wireless communication, cognitive radio, wireless sensor networks and statistical signal processing. He is the author of one edited book and 5 research monographs.
    Dr. Desai is a senior member of IEEE, a Fellow of INSA (Indian National Science Academy), Fellow of Indian National Academy of Engineering (INAE), and a Fellow of The Institution of Electronic & Telecommunication Engineers (IETE). He is the recipient of J C Bose Fellowship. He is also the recipient of the Excellence in Teaching Award from IIT-Bombay for 2007. He is on the board of Tata Communications Limited. and also on the on the Governing Council of IIIT Hyderabad, IIIT Gawlior and RGUKT. He was also on the Visitation Panel for University of Ghana.

In the last few years the world is witnessing a mobile data tsunami mainly due to increasing number of mobile devices, smartphones, tablets, mobile broadband enabled laptops/palmtops, Internet of Things (IoT), etc. There are more than 5 billion of such wirelessly connected mobile devices in service today. In the future, such human-centric connected devices including surveillance cameras, smart-city, smart-home, smart-grid devices etc., are expected to increase by 10- to 100-fold. This huge transition will present a formidable challenge in the field of wireless communication. With this trend, it is possible to conclude that within the next few years, wireless communication systems will have to support more than 1,000 times today’s traffic volume. This is a worldwide phenomenon and the trends in India follow closely those witnessed elsewhere.

Thus, in order to meet the data rate requirement while maintaining the Average Revenue per User (ARPU), the operators not only need to find-out cost effective solutions, but also look for solutions which are complementary and do not change their existing network completely, thus keeping their CAPEX low. Instead of a “one technology fits all”, complementary technologies should be used to address the data growth requirement. The seamless integration of such complementary technologies with evolved 3G and 4G will bring a new consumer experience and enable introduction of a host of new services and can be called as the evolution towards 5G. Technologies such as WiFi, Small Cells and Device to Device (D2D) have emerged as complimentary solution methods by which the access as well the back-haul capacity can be improved through simultaneous transmission or offloading of the cellular traffic through WiFi, Small Cells, and D2D communications.  We take one such technology, D2D, for further elaboration.

Mobile users in today’s cellular networks (2G/3G/4G) use high data rate services (e.g., video sharing, gaming, social-networking) in which they could potentially be in range for direct communications (between two mobile devices). Due to the fixed infrastructure based communication in a cellular system, many a time, although the mobile users are communicating (sharing files) in close proximity (in a stadium, club, office, homes, etc.), they require to follow the existing cellular transmission procedures, i.e., communication between two mobile devices will be through the Base Station or eNB. This is a resource consuming process, even though the devices are in close proximity. To avoid this, we propose to discuss a technique in which the close proximity devices can communicate with each other directly (Device-to-Device: D2D) without the complete intervention of the eNB. By doing this, re-use of cellular resources (sub-carrier/channel/Resource Blocks) can be made possible resulting in improved spectral efficiency, reduced cost of operation and improved customer experience. D2D can also be useful in enabling multi-hop relays in cellular networks, multi-casting, peer-to-peer communication, video dissemination, machine-to-machine (M2M) communication, cellular offloading, and so on.

Deploying D2D communication in practice requires certain changes such as dynamic power control  at UEs, access to location and channel information of UEs at the eNB, etc., through standardization at 3GPP or TSDSI level in which operators, equipment manufacturers and regulators are to be involved.

Since high cost of operation and low spectral efficiency are the two major factors obstructing the growth of world telecom in general and Indian telecom in particular, we believe that by using D2D communication, major technical and business hurdles of 5G can be  handled. We at TCS, are working closely with cellular operators and equipment manufacturers in this regard, such that a holistic solution can be achieved in future.  This talk will highlight some of the challenges faced in this 5G evolution as well as some techniques to address the same.

Anantha, Member IEEE, is a Principal Research Scientist at CTO Networks Lab, TCS.  After obtaining his MTech from IIT Madras, he has worked in the field of networking and communications for the last 30+ years.  He has published several papers in various conferences and filed patents through TCS.

Traditional approaches to securing systems tend to be fixed and mostly non adaptive. The Policy that defines the security posture is in some sense "hardcoded". In this talk, we focus on approaches to securing systems using approaches that have declarative policies that factor in dynamically evolving context. The approach is grounded in W3C standard representation formats for knowledge and formal logic. We show instances of this approach in two different network settings -- mobile devices and intrusion detection.

Anupam Joshi is the Oros Family Chair Professor of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County(UMBC). He is the Director of the UMBC Center for Cybersecurity, and the Co-Technical Director of the newly announced FFRDC to support the NIST National Cybersecurity Center of Excellence. In AY 2014-2015, he is a Visiting Professor at Center of Excellence in Cyber Systems and Information Assurance, IIT Delhi and Center for Education and Research in Cybersecurity, IIIT Delhi.
   He obtained a B.Tech degree from IIT Delhi in 1989, and a Masters and Ph.D. from Purdue University in 1991 and 1993 respectively. His research interests are in the broad area of networked computing and intelligent systems. His primary focus has been on data management and security/privacy in mobile/pervasive computing environments, and policy driven approaches to security and privacy. He is also interested in Semantic Web and Data/Text/Web Analytics, especially their applications to (cyber) security. He has published over 200 technical papers with an h-index of 67 , filed and been granted several patents, and has obtained research support from National Science Foundation (NSF), NASA, Defense Advanced Research Projects Agency (DARPA), US Dept of Defense (DoD), NIST, IBM, Microsoft, Qualcom, Northrop Grumman, and Lockheed Martin amongst others.

Photonic Integration and shared Mesh protection offers significant benefits to the telecom operators by significantly improving network reliability, reduction in Capex & Opex , and simplifying the network complexity involved in network operations. This presentation would discuss the benefits of these cutting edge technologies in the context of optical networks in India.

Prasanjeet Khuntia is working as Country Head India sales at Infinera. In his current role he is responsible for directing all aspects of Sales and Strategy for Infinera in India. He has over 20 years of experience in the Indian Telecom market. Prior to Joining Infinera, he worked in Tellabs as Country Manager for India, and as sales manager for Service providers Segment in Cisco India. He is an Electrical Engineer from National Institute of Technology, Rourkela and MBA from Indian Institute of Management, Kolkata.

Internet of Things (IoT) is the next technology transition where IoT systems will allow us to sense and control the physical world. This talk provides an overview of some of the work happening in this area in different standard bodies for industrial and non-industrial segments, highlights key aspects related to deterministic IoT systems and discusses new standardization challenges.  It  reviews and analyzes some of the new features and mechanisms that are being  added (or needs to be added) to the IEEE802.15.4 / IP based wireless mesh networks to support deterministic and real-time  IoT requirements.  Security and distributed analytics related aspects are considered as well.  Technical challenges and solutions are discussed for some of these areas.

Dr. Mukesh Taneja works as a Principal Engineer with Cisco India. He has been working in the areas of Internet of Things and Wireless Systems.  Prior to Cisco, Mukesh worked in the areas of LTE/3G Small Cell, Macro Cell, Mobility Gateways and 3GPP-WiFi Mobile Devices. He has participated in standardization work and has led technology incubation and product related activities.  Mukesh has authored thirty five patent applications and  papers. He  got his PhD from University of California San Diego  and has completed an Executive General Management Program from IIM Bangalore.

Social Networks play an important role in spreading information as people can share the information with a large number of users concurrently. The content posted by a user can spread further by retweeting and discussions on the content can be started by replying to the tweet, thus forming large information cascades. A large amount of research has been done in characterizing the information cascades and some work has been done to predict the information cascades. One of the recent work is done by Cheng et al. [1] in predicting the cascades on Facebook. Since Twitter is one of the most influential site where users can share news, opinion, and almost everything, we have chosen Twitter to study the information cascades. We have a dataset of 7.6 million Twitter users from March, 2014 to April, 2014. In this work, we would be presenting a large scale study of the cascades on Twitter by finding retweets and replies of an originating tweet. Most of the prior work on cascades incorporate only retweets and not the replies of a tweet. Replies also play on impotant role in the spread of the information. First of all, we will find the various basic properties of a cascade like size, spread, diameter, path length etc. Dow et al. [2] have studied two large Facebook cascades in detail, but we intend to study the medium sized cascades which are greater in number and see the difference in the network properties of the medium cascades to larger cascades like their growth with time, branching factor, cascade depth, community specificity, role played by root nodes and intermediate nodes. Wang et al. [3] consider user interest, social links, and user influence to recommend the users who should be mentioned to increase the diffusion. But, we also intend to consider network properties along with users social and topical features to predict the growth of the cascade. We also want to identify the variation in the network properties of the two cascades which are started by users who differ largely in the number of their followers count, the two cascades which start at different geographical location, and start at different time. Inspired by the work of Cheng et al. [1], in which they differentiate the cascades based on user initiated and page initiated on Facebook, comparing the cascades based on the properties of the subgraphs, initiated by the individuals and organizations in Twitter will be interesting to study. It will also be interesting to study the properties of two cascades which are competing with each other. By deriving best set of features from the analysis of the cascades, we will apply Machine learning techniques to do prediction task like the growth of a cascade after a certain time period, the effect of a particular user on the growth of the cascade. References 1. J. Cheng, L. Adamic, A. Dow, J. Kleinberg, and J. Leskovec. Can cascades be predicted? In Proc. WWW, 2014. 2. P. A. Dow, L. A. Adamic, and A. Friggeri. The anatomy of large facebook cascades. In Proc. ICWSM, 2013. 3. B. Wang, C. Wang, J. Bu, C. Chen, W.V. Zhang, D. Cai, and X. He. Whom to Mention: Expand the diffusion of tweets by @Recommendation on Micro-Blogging systems. In Proc. WWW 2013

Today, Internet faces unprecedented performance challenges in various aspects like heterogeneous environments, mobility and security. The performance of Internet depends on how best TCP works as most of the Internet traffic is carried by TCP. The performance of a particular TCP depends on its congestion control algorithm. However goals of this algorithm are to care for congestion collapse and also to act as resource optimization mechanism in best effort environment. It is important to study how a particular TCP flow characteristic impacts other flows and other protocol at same layer. Hardly any research work is reported in the literature regarding quantitative analysis, clearly showing effects of TCP and UDP on each other, in terms of Quality-of-Service (QoS) parameters. In the former part work we have carried out comprehensive system modeling and exhaustive quantitative analysis of effect of TCP and UDP on each other for predicting QoS parameters like mean delay, network delay, delay jitter and throughput. Modeling network layer traffic includes number of datagrams in aggregate flows, number of bytes in these flows with their respective sizes and fraction of TCP in overall traffic. Initially we focus on the QoS behavior at IP level and the performance of delay sensitive traffic when they are multiplexed with bursty background traffic. The modeling and analysis for mean queuing delay and numerical analysis obtained by transient queuing solution technique for UDP network delay and UDP delay jitter in terms of probability density functions clearly shows that the three parameters mentioned above degrade with the increase in ratio of TCP to UDP as well as with the size of datagrams. When TCP traffic gradually reduces to 0% and UDP traffic increases to 100%, mean delay reduces considerably. This reduction is 48.56% for homogenous case and 78.5% for heterogonous case. For 100% traffic of TCP and 0% of UDP, mean delay in the heterogeneous case is 0.844 s as compared to 0.384 s for the homogenous case. For Instantaneous network delay of a TCP flow when 100% TCP traffic is present is 79 % more to a when TCP flow when only 20% TCP traffic is present, and similarly for TCP throughput is less than 63% when entire background traffic is TCP. TCP degrades UDP network delay and UDP throughput and fellow TCP flows too. We also have compared the theoretical analysis with various ns-2 based simulations. The self similar traffic of TCP due to congestion control mechanism and self similar segment size distribution are the key features which degrade the QoS of overall traffic. To the best of our knowledge, no studies are available TCP and their compatibility with protocol at same layer. So far there is no consensus in research community on the superiority of any specific TCP congestion control mechanism over the other ones. The results obtained provide good insight for the design of better congestion control mechanism so as to improve the QoS demands of modern day dynamic complex traffic. Currently congestion control is seen as a transport layer issue. It is therefore combined with reliability mechanisms, in a TCP-like way. Therefore—like in the Internet—congestion control for unreliable, UDP-like traffic is not possible. A new perspective on this problem should be to realize congestion control in the network layer. After all it makes sense to control congestion problem where it emerges. An exceedingly high network load is a problem closely associated with packet forwarding and media access. Therefore the approach to separate congestion control strictly from reliability measures is what we address in the later part of our work. Reliability can be addressed according to need of application (full, partial and none) by slightly changing UDP or applications can implement according to their requirement. Secondly, Congestion control for non-unicast communication scenarios is also an open research issue. It is proved in literature that link-by-link error recovery performs better than end-to-end approach. On similar grounds a rate based congestion control mechanism in which services rates of routers/switches are adjusted using the feedback provided by neighboring switches. The current buffer occupancy of the immediate downstream switch is the feedback provided to decide the sending rate for the switch in question. We have modeled and analyzed throughput, network delay and stability of this hop-by-hop congestion and flow control mechanism. The probability distributions of traffic arrival and service times of starting node and rest all nodes is modeled, analyzed for QoS parameters like throughput, network delay and stability. We have simulation results using Matlab and Uppaal model checker for comparison with analytical results. Analytical, simulation and Uppaal results clearly indicate that hop-by-hop scheme reacts fast to changes in traffic intensity. The back pressure generated on switches can be handled by designing the buffer sizes of switches. As of now no admission control policy is required. A model checker exhaustively and automatically checks whether the given model meets its specification. Uppaal is an integrated tool environment for modeling, validating and verification of real time systems modeled as networks of timed automata. We implemented Hop-by-hop using Uppaal. It has a number of advantages over traditional approaches that are based on simulation, testing, and deductive reasoning. Model checking is automatic and quite fast. Also, if the design contains an error, model checking will produce a counterexample that can be used to understand error in the model implemented. The results are encouraging and are in progress. So far analytical and model checker outputs agree and indicate that hop-b-hop scheme reacts faster to traffic intensity changes. Advantages of Hop-by-hop are 1) Feedback information is quickly available because of smaller distances between hops. Therefore control mechanism reacts faster resulting in low likelihood of losses. 2) Datagrams can be stored at bottleneck and earlier nodes, so increased capacities are utilized better. 3) We used fixed (210 bytes) of datagrams and aggregated all the traffic streams, then subjected them to feedback-based control so burstiness is minimized to a very large extent. 4) In this mechanism well behaved flows are protected from malicious users. 5) Multicast can be used as Hop-by-hop is implemented at network layer. Finally we intend to propose incremental change in the TCP/IP protocol suite as in fig 1.Congestion control and flow control at network layer using hop-by-hop mechanism and flexible reliability at UDP (transport layer) or at application layer will improve the performance in network delay so delay jitter and throughput. This is improving the Internet performance.

To achieve heterogeneous seamless connectivity with Gigabit wireless speed (~10 GB/s), 1000 times higher mobile data volume per area, and 5 times reduced end to end latency as compared to 4G technology [1] is required for future communication (METIS 2020 and IoT). The researchers and 3GPP (Third Generation Partnership Project) agreed on disruptive changes on wireless communication system at architectural changes, component changes and radical changes and come up with a new generation technology known as Fifth (5 G) Generation Technology. This fifth generation technology has five distinguish key areas where researchers are working to meet the users' expectation. Five key areas are: Device centric architecture, Millimetre wave, Massive MIMO, Smarter devices and Native support for machine to machine communication.

This paper presents an investigation on enhancing the performance on multi-rate Ad hoc networks with congested network. Modern wireless devices, that implement the 802.11b standard, utilize multiple transmission rates in order to accommodate a varied range of channel conditions. Traditional Ad hoc routing protocols use minimum hop paths. These paths operate on long range links that have low effective throughput and low reliability in multi-rate networks. Many rate adaptation algorithms have been proposed to utilize the multi data rate, according to the current channel quality. In this paper, we propose a Cross Layer QoS Aware Multi Rate Routing Protocol for Ad hoc Network (CQMR-AODV) to provide QoS support for real-time multimedia applications in ad hoc networks. Our focus on cross-layer interactions between PHY, MAC and Network layer to utilize these multi-rate support from 802.11b on AODV reactive routing protocol. We propose an effective algorithm that chooses the optimal path with effective data rate and through a less congested network which is compatible with existing 802.11 implementations. CQMR_AODV chooses two metric for route selection, channel link quality of the physical layer and includes MAC layer channel contention information through the number of packets in the interface queue. We have implemented CQMR-AODV in the NS-2 simulator and conducted extensive simulation studies over network diversity. Our analysis shows that the CQMR - AODV protocol significantly increases the network performance in the packet delivery ratio and throughput.