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Modeling and Evaluating Denial of Service Attacks for Wireless and Mobile Applications

  • Zhou Lu
  • Wenye Wang
  • Cliff Wang

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

About this book

Introduction

This SpringerBrief covers modeling and analysis of Denial-of-Service attacks in emerging wireless and mobile applications. It uses an application-specific methodology to model and evaluate denial-of-service attacks. Three emerging applications are explored: multi-modal CSMA/CA networks, time-critical networks for the smart grid, and smart phone applications. The authors define a new performance metric to quantify the benefits of backoff misbehavior and show the impacts of a wide range of backoff mishandling nodes on the network performance, and propose a scheme to minimize the delay of time-critical message delivery under jamming attacks in smart grid applications. An investigation on the resilience of mobile services against malware attacks is included to advance understanding of network vulnerabilities associated with emerging wireless networks and offers instrumental guidance into the security design for future wireless and mobile applications. This book is appropriate for students, faculty, engineers, and experts in the technical area of wireless communication, mobile networks and cyber security.

Keywords

denial-of-service jamming mobile malware network security smart grid wireless and mobile applications

Authors and affiliations

  • Zhou Lu
    • 1
  • Wenye Wang
    • 2
  • Cliff Wang
    • 3
  1. 1.Department of Computer ScienceUniversity of MemphisMemphisUSA
  2. 2.Department of Electrical and Computer EngineeringNorth Carolina State UniversityRaleighUSA
  3. 3.Computing and Information Science DivisionArmy Research OfficeTriangle ParkUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-23288-1
  • Copyright Information The Author(s) 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-23287-4
  • Online ISBN 978-3-319-23288-1
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • Buy this book on publisher's site