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Article . 2004 . Peer-reviewed
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A fully distributed IDS for MANET

Authors: Puttini, Ricardo; Percher, Jean-Marc; Mé, Ludovic; de Sousa, Rafael;

A fully distributed IDS for MANET

Abstract

In This work we propose a new distributed intrusion detection system (IDS) designed for mobile ad hoc network (MANET) environments. The complete distribution of the intrusion detection process is the salient feature of our proposition: distribution is not restricted to data collection but also applied to execution of the detection algorithm and alert correlation. Each node in the MANET runs a local IDS (LIDS) that cooperates with others LIDS. A mobile agent framework is used to preserve the autonomy of each LIDS while providing a flexible technique for exploring the natural redundancies in MANET to compensate for the dynamic state of wireless links between high mobility nodes. The proposed solution has been validated by actual implementation, which is described in the paper. Three attacks are presented as illustrative examples of the IDS mechanisms. Attack detection is formally described by specification of data collection, attack signatures associated with such data and alerts generation and correlation. Experiments exhibit fairly good results, the attacks being collaboratively detected in real-time.

Keywords

[INFO.INFO-CR] Computer Science [cs]/Cryptography and Security [cs.CR]

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
26
Average
Top 10%
Average
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