KSII Transactions on Internet and Information Systems (TIIS)

Korean Society for Internet Information (한국인터넷정보학회)
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An Efficient Detection And Management Of False Accusation Attacks In Hierarchical Ad-Hoc Networks

  • Lee, Yun-Ho (Department of Defense Information Science, Korea National Defense University) ;
  • Yoo, Sang-Guun (Department of Computer Science and Engineering, Sogang University) ;
  • Lee, Soo-Jin (Department of Defense Information Science, Korea National Defense University)
  • Received : 2011.05.18
  • Accepted : 2012.06.20
  • Published : 2012.07.31
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Abstract

An approach to detect abnormal activities based on reputations created individually by each node is vulnerable to a false accusation since intrusion detection in ad-hoc networks is done in a distributed and cooperative manner. Detection of false accusation is considered important because the efficiency or survivability of the network can be degraded severely if normal nodes were excluded from the network by being considered as abnormal ones in the intrusion detection process. In this paper, we propose an improved reputation-based intrusion detection technique to efficiently detect and manage false accusations in ad-hoc networks. Additionally, we execute simulations of the proposed technique to analyze its performance and feasibility to be implemented in a real environment.

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References

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