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An Intrusion-Tolerant Mechanism for Intrusion Detection Systems

Authors: Liwei Kuang; Mohammad Zulkernine;

An Intrusion-Tolerant Mechanism for Intrusion Detection Systems

Abstract

In accordance with the increasing importance of intrusion detection systems (IDS), users justifiably demand the trustworthiness of the IDS. However, sophisticated attackers attempt to disable the IDS before they launch a thorough attack. Therefore, to accomplish its function, an IDS should have some mechanism to guarantee uninterrupted detection service even in the face of IDS component failures due to attacks. In this paper, we propose an intrusion-tolerant mechanism for network intrusion detection systems (NIDS) that employ multiple independent components. The mechanism monitors the detection units and the hosts on which the units reside and enables the IDS to survive component failure due to intrusions. As soon as a failed IDS component is discovered, a copy of the component is installed to replace it and the detection service continues. We implement the intrusion-tolerant mechanism based on the CSI-KNN-based NIDS and evaluate the prototype in the face of component failures. The results demonstrate that the mechanism can effectively tolerate intrusions.

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selected citations
These citations are derived from selected sources.
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!
7
Average
Average
Average
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