AN ANOMALY INTRUSION DETECTION METHOD USING FOURIER TRANSFORM

YueBing、ZhaoYuexia、XuZhoujun、FuHongjuan、MaFengning

2004Acta Scientiarum Naturalium Universitatis SunyatseniComputer Science被引 1

摘要

A set of discrete points obtained from audit records on a behavior session is processed with Fourier transform. The criterion of selecting Fourier transform coefficients is introduced, and is used to find a unified value from the set of coefficients. This unified value is compared with a threshold to determine whether the session is abnormal. Finally simple test results are reported.

引用本文（GB/T 7714）

YueBing, ZhaoYuexia, XuZhoujun, 等. AN ANOMALY INTRUSION DETECTION METHOD USING FOURIER TRANSFORM[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2004.

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