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Network Traffic Anomaly Detection

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arxiv 1402.0856 v1 pith:33AGVQHP submitted 2014-02-04 cs.CR

classification cs.CR
keywords networkanomalydetectiontrafficapproachesimportantsecuritynon-signature-based
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This paper presents a tutorial for network anomaly detection, focusing on non-signature-based approaches. Network traffic anomalies are unusual and significant changes in the traffic of a network. Networks play an important role in today's social and economic infrastructures. The security of the network becomes crucial, and network traffic anomaly detection constitutes an important part of network security. In this paper, we present three major approaches to non-signature-based network detection: PCA-based, sketch-based, and signal-analysis-based. In addition, we introduce a framework that subsumes the three approaches and a scheme for network anomaly extraction. We believe network anomaly detection will become more important in the future because of the increasing importance of network security.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Your Smart Home Can't Keep a Secret: Towards Automated Fingerprinting of IoT Traffic with Neural Networks

    cs.CR 2019-08 conditional novelty 6.0 of 10

    LSTM models can identify IoT device types from packet sizes and timing with 81-99% accuracy even when traffic is merged by NAT or VPN.

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