否定选择算法(Negative Selection Algorithm,NSA)是将免疫学的理论应用到计算机安全领域的奠基性算法,但是目前对它的研究却相对滞后。
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传统的识别器生成算法反向选择算法(Negative Selection Algorithm)是基于二进制空间的,对许多问题用真值空间描述更有利些。本文针对现今基于真值空间的Real-valued Negative Selection算法的不足...
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Cutting Negative Selection Algorithm 切割否定选择算法
immune negative selection algorithm 免疫否定选择算法
Modified Negative Selection Algorithm 改进型反向选择算法
improved negative selection algorithm 改进的否定选择算法
Evolutionary Negative Selection Algorithm 进化非选择算法
real-valued negative selection algorithm 实数值负向选择算法
By analyzing the reasons for the low detection rate of the existing real-value negative selection algorithms, an improved negative selection algorithm is proposed with the identification of boundary samples to improve the coverage of holes.
通过分析已有实值负选择算法检测率不高的原因,提出一种通过鉴别边界自体样本的改进负选择算法,以提高对检测黑洞的覆盖率。
参考来源 - 一种改进的实值负选择算法After analyzing, we introduce the famous Negative Selection Algorithm, and propose the Distributed Negative Selection Algorithm accordingly. To fulfill the content, we list out some examples.
在非选择算法的基础上,文章刻画了一种分布式非选择算法,并举例分析。
参考来源 - 基于智能化的入侵检测模型研究·2,447,543篇论文数据,部分数据来源于NoteExpress
The negative selection algorithm for an artificial immune system was used to detect vibration signals.
该文对人工免疫系统中的负向选择算法进行探讨。
An advanced negative selection algorithm adapted to the engineer needs in vehicle online testing is presented.
结合车辆在线检测背景,提出了一种改进型阴性选择算法。
This paper proposes two modified negative selection algorithm through the reference of fuzzy mathematics, applied to different intrusion detection environment.
本文借鉴模糊数学思想提出两种改进的否定选择算法,分别适用于不同的入侵检测环境。
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