Overview

This book highlights the importance of security in the design, development and deployment of systems based on Software-Defined Networking (SDN) and Network Functions Virtualization (NFV), together referred to as SDNFV. Presenting a comprehensive guide to the application of security mechanisms in the context of SDNFV, the content spans fundamental theory, practical solutions, and potential applications in future networks. Topics and features: introduces the key security challenges of SDN, NFV and Cloud Computing, providing a detailed tutorial on NFV security; discusses the issue of trust in SDN/NFV environments, covering roots of trust services, and proposing a technique to evaluate trust by exploiting remote attestation; reviews a range of specific SDNFV security solutions, including a DDoS detection and remediation framework, and a security policy transition framework for SDN; describes the implementation of a virtual home gateway, and a project that combines dynamic security monitoring with big-data analytics to detect network-wide threats; examines the security implications of SDNFV in evolving and future networks, from network-based threats to Industry 4.0 machines, to the security requirements for 5G; investigates security in the Observe, Orient, Decide and Act (OODA) paradigm, and proposes a monitoring solution for a Named Data Networking (NDN) architecture; includes review questions in each chapter, to test the reader’s understanding of each of the key concepts described. This informative and practical volume is an essential resource for researchers interested in the potential of SDNFV systems to address a broad range of network security challenges. The work will also be of great benefit to practitioners wishing to design secure next-generation communication networks, or to develop new security-related mechanisms for SDNFV systems.

Full Product Details

Author:   Shao Ying Zhu ,  Sandra Scott-Hayward ,  Ludovic Jacquin ,  Richard Hill
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2017
Weight:   0.545kg
ISBN:  

9783319878447

ISBN 10:   3319878441
Pages:   331
Publication Date:   31 August 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Part I: Introduction to Security in SDNFV – Key Concepts.- Security of Software-Defined Infrastructures with SDN, NFV, and Cloud Computing Technologies.- NFV Security: Emerging Technologies and Standards.- SDN and NFV Security: Challenges for Integrated Solutions.- Trust in SDN/NFV Environments.- Part II: SDNFV Security Challenges and Network Security Solutions.- Practical Experience in NFV Security Field: Virtual Home Gateway.- A Security Policy Transition Framework for Software-Defined Networks.- SDNFV-Based DDoS Detection and Remediation in Multi-Tenant, Virtualized Infrastructures.- SHIELD – Securing Against Intruders and Other Threats Through a NFV-Enabled Environment.- Part III: Security Implications of SDNFV in Future Networks.- Addressing Industry 4.0 Security by Software-Defined Networking.- Security Requirements for Multi-Operator Virtualized Network and Service Orchestration for 5G.- Improving Security in Coalition Tactical Environments Using an SDN Approach.- A SDN and NFV Use-Case: NDN Implementation and Security Monitoring.

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Author Information

Dr. Shao Ying Zhu is a Senior Lecturer in Computing at the University of Derby, UK. Dr. Sandra Scott-Hayward is a Lecturer (Assistant Professor) at Queen’s University Belfast, Northern Ireland. Dr. Ludovic Jacquin is a Senior Researcher at Hewlett Packard Labs - the research organisation of Hewlett Packard Enterprise - in Bristol, UK. Prof. Richard Hill is the Head of the Department of Informatics and the Director of the Centre for Industrial Analytics at the University of Huddersfield, UK. The other publications of the editors include the Springer titles Guide to Security Assurance for Cloud Computing and Big-Data Analytics and Cloud Computing: Theory, Algorithms and Applications.

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