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- Title
Application of weighted conditional entropy in anomaly detection.
- Authors
FAN Xiao-shi; LI Cheng-hai
- Abstract
This paper proposed an anomaly detection method based on conditional and weighted entropy by analyzing entropy application and conditional entropy inherence property. This paper analysed the character of network traffic, chose the network property with relativity, and proposed the formula of weighted coefficient matrix and method of anomaly detection. The experiment shows the validity and practicability of this method. Meanwhile it analysed the reason of detection difference under different character property chooses base on application effect.
- Subjects
ENTROPY; ANOMALY detection (Computer security); COMPUTER security; COEFFICIENTS (Statistics); ARTIFICIAL neural networks
- Publication
Application Research of Computers / Jisuanji Yingyong Yanjiu, 2014, Vol 31, Issue 1, p203
- ISSN
1001-3695
- Publication type
Article
- DOI
10.3969/j.issn.1001-3695.2014.01.047