Revisiting LISYS: parameters and normal behavior

Justin Balthrop, S. Forrest, Matthew R. Glickman
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引用次数: 109

Abstract

This paper studies a simplified form of LISYS, an artificial immune system for network intrusion detection. The paper describes results based on a new, more controlled data set than that used for earlier studies. The paper also looks at which parameters appear most important for minimizing false positives, as well as the trade-offs and relationships among parameter settings.
重访LISYS:参数和正常行为
本文研究了网络入侵检测人工免疫系统LISYS的简化形式。这篇论文所描述的结果是基于一个新的、比早期研究中使用的数据集更受控制的数据集。本文还研究了哪些参数对于最小化误报最为重要,以及参数设置之间的权衡和关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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