Bouzefrane / Banerjee / Sailhan Mobile, Secure, and Programmable Networking

Third International Conference, MSPN 2017, Paris, France, June 29-30, 2017, Revised Selected Papers
1. Auflage 2017
ISBN: 978-3-319-67807-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 10566, 237 Seiten, eBook

Reihe: 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.

Zielgruppe

Research

Autoren/Hrsg.

Bouzefrane, Samia

Banerjee, Soumya

Sailhan, Françoise

Boumerdassi, Selma

Renault, Eric

Inhaltsverzeichnis

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 onCompressive 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.