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REAct: resource-efficient accountability for nodemisbehavior in ad hoc networks based on random audits
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Conference On Wireless Network Security archive
Proceedings of the second ACM conference on Wireless network security table of contents
Zurich, Switzerland
SESSION: Ad hoc networks table of contents
Pages 103-110  
Year of Publication: 2009
ISBN:978-1-60558-460-7
Authors
William Kozma  University of Arizona, Tucson, AZ, USA
Loukas Lazos  University of Arizona, Tucson, AZ, USA
Sponsors
SIGSAC: ACM Special Interest Group on Security, Audit, and Control
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Wireless ad hoc networks rely on multi-hop routes to transport data from source to destination. The routing function is implemented in a collaborative manner, with each node responsible for relaying traffic to the destination. However, an increasingly sophisticated pool of users with easy access to commercial wireless devices, combined with the poor physical and software security of the devices, can lead to node misconfiguration or misbehavior. A misbehaving node may refuse to forward packets in order to conserve its energy (selfishness), or simply degrade network performance (maliciousness).

In this paper, we investigate the problem of uniquely identifying the set of misbehaving nodes who refuse to forward packets. We propose a novel misbehavior identification scheme called REAct that provides resource-efficient accountability for node misbehavior. REAct identifies misbehaving nodes based on a series of random audits triggered upon a performance drop. We show that a source-destination pair using REAct can identify any number of independently misbehaving nodes based on behavioral proofs provided by nodes. Proofs are constructed using Bloom filters which are storage-efficient membership structures, thus significantly reducing the communication overhead for misbehavior detection.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Collaborative Colleagues:
William Kozma: colleagues
Loukas Lazos: colleagues