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原文連結
論文資訊
- 類型：已發表論文
- 日期：2005
摘要
ARTIS is an artificial 免疫 system framework which contains several adaptive mechanisms. LISYS is a version of ARTIS specialized for the problem of 網絡 intrusion detection. The adaptive mechanisms of LISYS are characterized in terms of their machine-learning counterparts, and a series of experiments is described, each of which isolates a different mechanism of LISYS and studies its contribution to the system's overall performance. The experiments were conducted on a new data set, which is more recent and realistic than earlier data sets. The 網絡 intrusion detection problem is challenging because it requires one-class learning in an on-line setting with concept drift. The experiments confirm earlier experimental results with LISYS, and they study in detail how LISYS achieves success on the new
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