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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2005, Vol. 6 Issue ( 5): 4-    DOI: 10.1631/jzus.2005.A0371
    
An immunity-based technique to detect network intrusions
PAN Feng, DING Yun-fei, WANG Wei-nong
Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai 200030, China; Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield S10 2TN, UK
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Abstract  This paper briefly reviews other people?ˉs works on negative selection algorithm and their shortcomings. With a view to the real problem to be solved, authors bring forward two assumptions, based on which a new immune algorithm, multi-level negative selection algorithm, is developed. In essence, compared with Forrest?ˉs negative selection algorithm, it enhances detector generation efficiency. This algorithm integrates clonal selection process into negative selection process for the first time. After careful analyses, this algorithm was applied to network intrusion detection and achieved good results.

Key words： Computer Automatic Control and Systems Engineering Artificial immune system      Network intrusion detection      Negative selection      Clonal selection?     
Received: 05 December 2003     
CLC:  TP393.08  
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PAN Feng
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Cite this article:

PAN Feng, DING Yun-fei, WANG Wei-nong. An immunity-based technique to detect network intrusions. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2005, 6( 5): 4-.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2005.A0371     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2005/V6/I 5/4

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