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OpenLIDS: a lightweight intrusion detection system for wireless mesh networks

Research output: Contribution in Book/Report/ProceedingsPaper

Published

Publication date2009
Host publicationProceedings of the 15th Annual International Conference on Mobile Computing and Networking (MobiCom 2009)
Place of publicationNew York
PublisherACM
Pages309-320
Number of pages12
ISBN (Print)978-1-60558-702-8
Original languageEnglish

Conference

ConferenceInternational Conference on Mobile Computing and Networking (MobiCom'2009)
CityBeijing, China
Period1/01/09 → …

Conference

ConferenceInternational Conference on Mobile Computing and Networking (MobiCom'2009)
CityBeijing, China
Period1/01/09 → …

Abstract

Wireless mesh networks are being used to provide Internet access in a cost efficient manner. Typically, consumer-level wireless access points with modified software are used to route traffic to potentially multiple back-haul points. Malware infected computers generate malicious traffic, which uses valuable network resources and puts other systems at risk. Intrusion detection systems can be used to detect such activity. Cost constraints and the decentralised nature of WMNs make performing intrusion detection on mesh devices desirable. However, these devices are typically resource constrained. This paper describes the results of examining their ability to perform intrusion detection. Our experimental study shows that commonly-used deep packet inspection approaches are unreliable on such hardware. We implement a set of lightweight anomaly detection mechanisms as part of an intrusion detection system, called OpenLIDS. We show that even with the limited hardware resources of a mesh device, it can detect current malware behaviour in an efficient way.

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