Springer Proceedings of International Symposium on Sensor Networks, Systems and Security: Advances in Computing and Networking with Applications

Product Description This book presents current trends that are dominating technology and society, including privacy, high performance computing in the cloud, networking and IoT, and bioinformatics. By providing chapters detailing accessible descriptions of the research frontiers in each of these domains, the reader is provided with a unique understanding of what is currently feasible. Readers are also given a vision of what these technologies can be expected to produce in the near future. The topics are covered comprehensively by experts in respective areas. Each section includes an overview that puts the research topics in perspective and integrates the sections into an overview of how technology is evolving. The book represents the proceedings of the International Symposium on Sensor Networks, Systems and Security, August 31 – September 2, 2017, Lakeland Florida. From the Back Cover This book presents current trends that are dominating technology and society, including privacy, high performance computing in the cloud, networking and IoT, and bioinformatics. By providing chapters detailing accessible descriptions of the research frontiers in each of these domains, the reader is provided with a unique understanding of what is currently feasible. Readers are also given a vision of what these technologies can be expected to produce in the near future. The topics are covered comprehensively by experts in respective areas. Each section includes an overview that puts the research topics in perspective and integrates the sections into an overview of how technology is evolving. The book represents the proceedings of the International Symposium on Sensor Networks, Systems and Security, August 31 – September 2, 2017, Lakeland Florida. About the Author Nageswara S. V. Rao is a Corporate Fellow in Computational Science and Engineering Division, Oak Ridge National Laboratory, where he joined in 1993. He was on assignment at Missile Defense Agency as the Technical Director, C2BMC Knowledge Center during 2008-2010. He published more than 400 technical conference and journal papers in the areas of sensor networks, information fusion and high-performance networking. His research projects have been funded by multiple federal agencies including National Science Foundation, Department of Energy, Department of Defense, Domestic Nuclear Detection Office, and Defense Advanced Research Projects Agency. He is a Fellow of IEEE, and received 2005 IEEE Technical Achievement Award and 2014 R&D100 Award.   Dr. Richard R. Brooks got his BA from Johns Hopkins University in Mathematical Sciences and PhD in Computer Science from Louisiana State University. He was head of the  Penn State ARL distributed systems department for 7 years and is now a professor of Computer Engineering at Clemson.  Dr. Brooks' network security research projects have included funding from NSF (analyzing denial of service), DoE (authentication and authorization), BMW Corporation (penetration testing), NIST (standards definition), AFOSR (timing side-channels) and the US State Department (creating anonymous communications tools). He finds attacks that disable security measures by working at a different level of the protocol stack. His Internet freedom work involves interactions with at risk populations working for freedom of expression.   Chase Q. Wu is currently an Associate Professor in the Department of Computer Science and the Director of the Center for Big Data at New Jersey Institute of Technology (NJIT). He joined NJIT in fall 2015 from the University of Memphis, where he was an Associate Professor in the Department of Computer Science. His research interests include big data, high-performance networking, parallel and distributed computing, sensor networks, scientific visualization, and cyber security. His research in networking develops fast and reliable data transfer solutions to help users in a wide spectrum of scientific domains move big data