Recent works have shown that Internet traffics are self-similar over several time scales from microseconds to minutes. On the other hand, the dramatic expansion of Internet applications give rise to a fundamental challenge to the network security. This paper presents a statistical analysis of the Internet traffic Histogram Feature Vector, which can be applied to detect the traffic anomalies. Besides, the Variant Packet Sending-interval Link Padding based on heavy-tail distribution is proposed to defend the traffic analysis attacks in the low or medium speed anonymity system. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Yan, W. (2005). Measuring the histogram feature vector for anomaly network traffic. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3802 LNAI, pp. 279–284). Springer Verlag. https://doi.org/10.1007/11596981_41
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