Mobile, Secure, and Programmable Networking

Mobile, Secure, and Programmable Networking: Third International Conference, MSPN 2017, Paris, France, June 29-30, 2017, Revised Selected Papers (Lecture Notes in Computer Science)

This book constitutes the thoroughly refereed post-conference proceedings of the Third  International Conference on Mobile, Secure and Programmable Networking, held in Paris, France, in June 2017.

The 17 papers presented in this volume were carefully reviewed and selected from 35 submissions. They discuss new trends in networking infrastructures, security, services and applications while focusing on virtualization and cloud computing, network programming, software defined networks (SDN) and their security.

Table of Contents

Chapter 1. Efficient Implementation of Pedersen Commitments Using Twisted Edwards Curves
Chapter 2. Enhanced Sinkhole System: Collecting System Details to Support Investigations
Chapter 3. An Autonomous System Based Security Mechanism for Network Coding Applications in Content-Centric Networking
Chapter 4. An Ultra-Lightweight Authentication Scheme for Heterogeneous Wireless Sensor Networks in the Context of Internet of Things
Chapter 5. Authentication Based Elliptic Curves Digital Signature for ZigBee Networks
Chapter 6. Formal Modeling and Performance Evaluation of Network’s Server Under SYN/TCP Attack
Chapter 7. Empirical Evaluation of a Distributed Deployment Strategy for Virtual Networks
Chapter 8. Identifying Service Contexts for QoS Support in IoT Service Oriented Software Defined Networks
Chapter 9. A Fast Bit-Level MPLS-Based Source Routing Scheme in Software Defined Networks: SD-{W,L}AN
Chapter 10. Requirements and Complexity Analysis of Cross-Layer Design Optimization for Adaptive Inter-vehicle DSRC
Chapter 11. Technique Stages for Efficient Wideband Spectrum Sensing Based on Compressive Sensing
Chapter 12. Predicting Response Time-Related Quality-of-Service Outages of PaaS Cloud Applications by Machine Learning
Chapter 13. Intelligent Road Design Using Artificial Intelligence Techniques
Chapter 14. Mobility Prediction in Vehicular Networks: An Approach Through Hybrid Neural Networks Under Uncertainty
Chapter 15. Building of an Information Retrieval System Based on Genetic Algorithms
Chapter 16. A GRC-Centric Approach for Enhancing Management Process of IoT-Based Health Institution
Chapter 17. Energy Consumption Estimation for Energy-Aware, Adaptive Sensing Applications