Proceedings of International Symposium on Sensor Networks, Systems and Security

1. Front Matter

   Pages i-xvi

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2. On the Need of Security Standards in Big Data Information Flow

   • Christopher Harrison, Makala Quinn, Jacob Livingston, Karim O. Elish

   Pages 1-11

3. On Data Transfers Over Wide-Area Dedicated Connections

   • Nageswara S. V. Rao, Qiang Liu

   Pages 13-33

4. Temporal Analysis of Stress Classification Using QRS Complex of ECG Signals

   • Neha Keshan, Isabelle Bichindaritz, Patanjali V. Parimi, Vir V. Phoha

   Pages 35-44

5. Trends and Future Directions of Research for Smart Grid IoT Sensor Networks

   • Arif I. Sarwat, Aditya Sundararajan, Imtiaz Parvez

   Pages 45-61

6. Accelerating the Big Data Analytics by GPU-Based Machine Learning: A Survey

   • K. Bhargavi, B. Sathish Babu

   Pages 63-83

7. A Novel Perfect Privacy PIR Scheme for Privacy Critical Applications

   • Radhakrishna Bhat, N. R. Sunitha

   Pages 85-95

8. Intelligent Access Control: A Self-Adaptable Trust-Based Access Control (SATBAC) Framework Using Game Theory Strategy

   • G. S. Thejas, T. C. Pramod, S. S. Iyengar, N. R. Sunitha

   Pages 97-111

9. Dynamic Firewall Policy Management Framework for Private Cloud

   • Mahesh Nath Maddumala, Vijay Kumar

   Pages 113-123

10. Evolution of Sensors Leading to Smart Objects and Security Issues in IoT

    • Sanjeev Kaushik Ramani, S. S. Iyengar

    Pages 125-136

11. Multimedia Data Management for Disaster Situation Awareness

    • Maria E. Presa Reyes, Samira Pouyanfar, Hector Cen Zheng, Hsin-Yu Ha, Shu-Ching Chen

    Pages 137-146

12. Internet of Things: Current Trends and Emerging Prospects

    • Amartya Sen, Sanjay Madria

    Pages 147-162

13. Public Key Cryptosystem for Privacy Sensitive Location-Based Services

    • K. M. Mahesh Kumar, N. R. Sunitha

    Pages 163-172

14. A Study of Contact Durations for Vehicle to Vehicle Communications

    • Quynh Nguyen, Bhaskar Krishnamachari

    Pages 173-183

15. Flexible Bandwidth Scheduling for Streaming Data Movement Over Dedicated Networks

    • Liudong Zuo, Michelle Zhu, Chase Wu, Nageswara S. V. Rao, Min Han, Anyi Wang

    Pages 185-195

16. Stochastic Tools for Network Intrusion Detection

    • Lu Yu, Richard R. Brooks

    Pages 197-205

17. Techniques to Certify Integrity and Proof of Existence for a Periodical Re-encryption-Based Long-Term Archival Systems

    • A. H. Shanthakumara, N. R. Sunitha

    Pages 207-217

18. SCADA: Analysis of Attacks on Communication Protocols

    • T. C. Pramod, N. R. Sunitha

    Pages 219-234

19. Security Threats and Solutions for Virtualization and Migration in Virtual Machines

    • N. Ravi, N. R. Sunitha

    Pages 235-244

20. TASB-AC: Term Annotated Sliding-Window-Based Boosting Associative Classifier for DNA Repair Gene Categorization

    • A. Vidya, Santosh Pattar, M. S. Roopa, K. R. Venugopal, L. M. Patnaik

    Pages 245-264

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.

• Cybersecurity
• Big data networking
• Sensor networks
• Internet of things (IoT)
• Bioinformatics
• Privacy
• Cloud
• Game theory
• Data analytics

• Computer Science & Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, USA

  Nageswara S.V. Rao

• Clemson University, Clemson, USA

  Richard R. Brooks

• Department of Computer Science, New Jersey Institute of Technology, Newark, USA

  Chase Q. Wu

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 over long distances for collaborative data analytics.  His research in computing develops high-performance workflow solutions to manage the execution of and optimize the performance of large-scale scientific workflows in heterogeneous computing environments. Dr. Wu’s work has been supported by various funding agencies, including the National Science Foundation, the U.S. Department of Energy, Department of Homeland Security, Office of Naval Research, and Oak Ridge National Laboratory, where he is a collaborative research staff and works on a number of high-performance networking projects and big-data computational science projects. He has published over 200 research articles in highly reputed conference proceedings, journals, and books, and won best paper awards at many conferences.

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