Zhu / Scott-Hayward / Jacquin | Guide to Security in SDN and NFV | E-Book | sack.de
E-Book

E-Book, Englisch, 331 Seiten, eBook

Reihe: Computer Communications and Networks

Zhu / Scott-Hayward / Jacquin Guide to Security in SDN and NFV

Challenges, Opportunities, and Applications

E-Book, Englisch, 331 Seiten, eBook

Reihe: Computer Communications and Networks

ISBN: 978-3-319-64653-4
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: Wasserzeichen (»Systemvoraussetzungen)



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.
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Zielgruppe


Research

Weitere Infos & Material


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.


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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