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Moving Target Defense for Distributed Systems

  • Book
  • © 2016

Overview

  • Explains that Moving Target Defense is a cost-effective approach for intrusion detection, active response, and recovery on servers in cloud data centers
  • Focuses on Moving Target Defense in the context of protecting virtual machines in cloud data centers
  • Presents security and network-aware Virtual Machine placement approaches
  • Includes supplementary material: sn.pub/extras

Part of the book series: Wireless Networks (WN)

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Table of contents (5 chapters)

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About this book

This book provides an overview of Moving Target Defense (MTD) and the importance of developing novel MTD schemes to protect distributed systems. It presents MTD-based research efforts to protect cloud data centers, along with network and security risk-aware approaches to place Virtual Machines (VM) in cloud data centers. These approaches include MTD-based network diversity models that enable an evaluation of the robustness of cloud data centers against potential zero-day attacks. Since these models can be used as a security metric the authors include different network configurations and policies, consider the similarity and dissimilarity of network resources, and account for minimum impact to maximum impact attacks. Also offered is a framework for determining the cost of MTD-based VM migration on cloud data centers. 
Designed for researchers and practitioners, Moving Target Defense for Distributed Systems enables readers to understand the potential of MTD capabilities. It enables defenders to change system or network behaviors, policies, and configurations automatically to keep potential attack surfaces protected. Advanced level students in computer science, especially those interested in networks and security, will benefit from this book.




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Authors and Affiliations

  • NASHVILLE, USA

    Sachin Shetty

  • Chinese Academy of Science, China Internet Network Information Cente, Beijing, China

    Xuebiao Yuchi

  • Dept of Comp Sci, 223 Rekhi Hall, Michigan Technological University, Houghton, USA

    Min Song

About the authors

                           

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