【摘 要】
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This paper briefly reviews other peoples works on negative selection algorithm and their shortcomings. With a view to the real problem to be solved, authors bri
【机 构】
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Department of Computer Science and Engineering, Shanghai Jiaotong University,Shanghai 200030, China
论文部分内容阅读
This paper briefly reviews other peoples 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 Forrests 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.
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