NDLI: ACTIDS: an active strategy for detecting and localizing network attacks

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ACTIDS: an active strategy for detecting and localizing network attacks

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ACTIDS: an active strategy for detecting and localizing network attacks

Content Provider	ACM Digital Library
Author	Amar, Nir Nakibly, Gabi Menahem, Eitan Elovici, Yuval
Abstract	In this work we investigate a new approach for detecting attacks which aim to degrade the network's Quality of Service (QoS). To this end, a new network-based intrusion detection system (NIDS) is proposed. Most contemporary NIDSs take a passive approach by solely monitoring the network's production traffic. This paper explores a complementary approach in which distributed agents actively send out periodic probes. The probes are continuously monitored to detect anomalous behavior of the network. The proposed approach takes away much of the variability of the network's production traffic that makes it so difficult to classify. This enables the NIDS to detect more subtle attacks which would not be detected using the passive approach alone. Furthermore, the active probing approach allows the NIDS to be effectively trained using only examples of the network's normal states, hence enabling an effective detection of zero day attacks. Using realistic experiments, we show that an NIDS which also leverages the active approach is considerably more effective in detecting attacks which aim to degrade the network's QoS when compared to an NIDS which relies solely on the passive approach.
Starting Page	55
Ending Page	66
Page Count	12
File Format	PDF
ISBN	9781450324885
DOI	10.1145/2517312.2517323
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-11-04
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Quality-of-service attacks Meta-learning
Content Type	Text
Resource Type	Article

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