Pervasive Wireless Environments: Detecting and Localizing User Spoofing

  • Jie Yang
  • Yingying Chen
  • Wade Trappe
  • Jerry Cheng

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

Table of contents

  1. Front Matter
    Pages i-viii
  2. Jie Yang, Yingying Chen, Wade Trappe, Jerry Cheng
    Pages 1-4
  3. Jie Yang, Yingying Chen, Wade Trappe, Jerry Cheng
    Pages 5-6
  4. Jie Yang, Yingying Chen, Wade Trappe, Jerry Cheng
    Pages 7-22
  5. Jie Yang, Yingying Chen, Wade Trappe, Jerry Cheng
    Pages 23-41
  6. Jie Yang, Yingying Chen, Wade Trappe, Jerry Cheng
    Pages 43-66
  7. Jie Yang, Yingying Chen, Wade Trappe, Jerry Cheng
    Pages 67-69
  8. Jie Yang, Yingying Chen, Wade Trappe, Jerry Cheng
    Pages 71-72

About this book

Introduction

This Springer Brief provides a new approach to prevent user spoofing by using the physical properties associated with wireless transmissions to detect the presence of user spoofing. The most common method, applying cryptographic authentication, requires additional management and computational power that cannot be deployed consistently. The authors present the new approach by offering a summary of the recent research and exploring the benefits and potential challenges of this method. This brief discusses the feasibility of launching user spoofing attacks and their impact on the wireless and sensor networks. Readers are equipped to understand several system models. One attack detection model exploits the spatial correlation of received signal strength (RSS) inherited from wireless devices as a foundation. Through experiments in practical environments, the authors evaluate the performance of the spoofing attack detection model. The brief also introduces the DEMOTE system, which exploits the correlation within the RSS trace based on each device’s identity to detect mobile attackers. A final chapter covers future directions of this field. By presenting complex technical information in a concise format, this brief is a valuable resource for researchers, professionals, and advanced-level students focused on wireless network security.

Keywords

Attack detection Identity-based attacks Received signal strength (RSS) Spatial correlation Spoofing attacks User spoofing Wireless localization Wireless network security

Authors and affiliations

  • Jie Yang
    • 1
  • Yingying Chen
    • 2
  • Wade Trappe
    • 3
  • Jerry Cheng
    • 4
  1. 1.Department of Computer Science and EngineeringOakland UniversityRochesterUSA
  2. 2.Dept. Electrical & Computer EngineeringStevens Institute of TechnologyHobokenUSA
  3. 3.Wireless Information Network LabRutgers, The State University of New JerseyNorth BrunswickUSA
  4. 4.Rutgers, The State University of New JerseyNew BrunswickUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-07356-9
  • Copyright Information The Author(s) 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-07355-2
  • Online ISBN 978-3-319-07356-9
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • About this book