Mobile, Secure, and Programmable Networking: Third International Conference, Mspn 2017, Paris, France, June 29-30, 2017, Revised Selected Papers

ISBN-13: 9783319678061 / Angielski / Miękka / 2017 / 237 str.

Soumya Banerjee; Selma Boumerdassi; Samia Bouzefrane

Opis

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.

Spis treści

Efficient Implementation of Pedersen Commitments Using Twisted Edwards Curves.- Enhanced Sinkhole System: Collecting System Details to Support Investigation.- An Autonomous System based Security Mechanism for Network Coding Applications in Content-Centric Networking.- An Ultra-Lightweight Authentication Scheme for Heterogeneous Wireless Sensor Networks in the Context of Internet of Things.- Authentication based Elliptic Curves Cryptography for ZigBee Networks.- Formal Modeling and Performance Evaluation of Network’s Server under SYN / TCP Attack.- Empirical Evaluation of a Distributed Deployment Strategy for Virtual Networks.- Identifying Service Contexts for QoS Support in IoT Service Oriented Software Defined Networks.- A fast bit-level MPLS-based source routing scheme in Software Defined Networks: SD-{L,W}AN.- Requirements and Complexity Analysis of Cross-Layer Design Optimization for Adaptive Inter-Vehicle DSRC.- Technique Stages for Efficient Wideband Spectrum Sensing Based on Compressive Sensing.- Predicting Response Time-related Quality-of-Service Outages of PaaS Cloud Applications by Machine Learning.- Intelligent Road Design Using Artificial Intelligence Techniques.- Mobility Prediction in Vehicular Network: An Approach through Hybrid Neural Network under Uncertainty.- Building an Information Retrieval System Based on Genetic Algorithms.- A GRC-Centric Approach for Enhancing Management Process of IoT-Based Health Institution.- Energy Consumption Estimation for Energy-Aware, Adaptive Sensing Applications.