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Research on Anomaly Detection of Network Traffic Based on Fractal Technology and Vector Quantization

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4 Author(s)
Mingsheng Liu ; Dept. of Comput. Sci., Handan Coll., Handan, China ; Yuemei He ; Qingli Meng ; Zhihui Wang

In this paper, with the research on the development survey of the network anomaly detection at home and abroad, a new algorithm for anomaly detection of network traffic based on fractal technology and vector quantization is proposed in view of most anomaly detection model with the poor real-time, the lower detection rate and the higher false positive rate. Theoretical analysis shows that this algorithm can achieve higher precision with less space and time complexity, and it can accurately and effectively discover the abnormal network traffic and identify the cause of anomaly network traffic.

Published in:

Education Technology and Computer Science (ETCS), 2010 Second International Workshop on  (Volume:2 )

Date of Conference:

6-7 March 2010

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