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Collaboration Model Design to Improve Malicious Node Detection Rate in MANET

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2013, 18(3), pp.35-45
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

신언석 1 Seo In Jeon 2 박건우 3 Ryu, Keun Ho 4

1육군본부 전산체계처장
2육군본부 전산체계처 전산장교
3육군본부 전산장교
4충북대학교

Accredited

ABSTRACT

MANET has a weak point because it allows access from not only legal nodes but also illegal nodes. Most of the MANET researches had been focused on attack on routing path or packet forwarding. Nevertheless, there are insuffcient studies on a comprehensive approach to detect various attacks on malicious nodes at packet forwarding processes. In this paper, we propose a technique, named DTecBC (detection technique of malicious node behaviors based on collaboration), which can handle more effciently various types of malicious node attacks on MANET environment. The DTecBC is designed to detect malicious nodes by communication between neighboring nodes, and manage malicious nodes using a maintain table. OPNET tool was used to compare with Watchdog, CONFIDANT, SRRPPnT for verifying effectiveness of our approach. As a result, DTecBC detects various behaviors of malicious nodes more effectively than other techniques.

Citation status

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