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Alarm analysis on intrusion detection of network flow

Advances in Intelligent Systems and Computing (2013) 180 AISC 849-853
DOI: 10.1007/978-3-642-31656-2_116
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Abstract

This paper discusses network traffic self-similarity in new field of its security application, and describes Hurst parameter to determine whether the network is abnormal, and timely alarming based on establishing user' normal behavior model of network flow. © 2013 Springer-Verlag.

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Liu, Y., Cao, Y., & Lei, J. (2013). Alarm analysis on intrusion detection of network flow. In Advances in Intelligent Systems and Computing (Vol. 180 AISC, pp. 849–853). Springer Verlag. https://doi.org/10.1007/978-3-642-31656-2_116

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