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An Efficient Detection And Management Of False Accusation Attacks In Hierarchical Ad-Hoc Networks
  • KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

An Efficient Detection And Management Of False Accusation Attacks In Hierarchical Ad-Hoc Networks

Vol. 6, No. 7, July 24, 2012
10.3837/tiis.2012.07.009, Download Paper (Free):

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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Cite this article

[IEEE Style]
Y. Lee, S. Yoo and S. Lee, "An Efficient Detection And Management Of False Accusation Attacks In Hierarchical Ad-Hoc Networks," KSII Transactions on Internet and Information Systems, vol. 6, no. 7, pp. 1874-1893, 2012. DOI: 10.3837/tiis.2012.07.009.

[ACM Style]
Yunho Lee, Sang-Guun Yoo, and Soojin Lee. 2012. An Efficient Detection And Management Of False Accusation Attacks In Hierarchical Ad-Hoc Networks. KSII Transactions on Internet and Information Systems, 6, 7, (2012), 1874-1893. DOI: 10.3837/tiis.2012.07.009.