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Detection and Localizing Multiple Spoofing Attackers

  • Jie Yang
  • Yingying ChenEmail author
  • Wade Trappe
  • Jerry Cheng
Chapter
Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Abstract

Under a malicious spoofing attack, multiple adversaries may masquerade as the same identity and collaborate to launch a denial-of-service attack quickly. Therefore, it is important to further determine the number of attackers that masquerade as the same identity in the wireless network. Further, detecting the presence of identity-based attacks in the network provides first order information towards defending against attackers. Learning the physical location of the attackers allows the network administrators to further exploit a wide range of defense strategies. For example, we can physically visit multiple adversaries and eliminate it from the network. We then explore how to find the positions of the adversaries by integrating our attack detector into a real-time indoor localization system.

Keywords

Support Vector Machine Node Identity Attack Detection Partition Energy Original Node 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© The Author(s) 2014

Authors and Affiliations

  • Jie Yang
    • 1
  • Yingying Chen
    • 2
    Email author
  • Wade Trappe
    • 3
  • Jerry Cheng
    • 4
  1. 1.Department of Computer Science and EngineeringOakland UniversityRochesterUSA
  2. 2.Department of 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

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