A self-adaptive negative selection algorithm used for anomaly detection
نویسندگان
چکیده
منابع مشابه
A Cooperative Negative Selection Algorithm for Anomaly Detection
Artificial Immune System (AIS) is a convoluted and complex arrangement derived from biological immune system (BIS). It possesses the abilities of self-adapting, self-learning and self-configuration. It has the basic function to distinguish self and non-self. Negative Selection Algorithm (NSA) over the years has shown to be competent for anomaly detection problems. In the past decade internet ha...
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Network anomaly detection has become the promising aspect of intrusion detection. The existing anomaly detection models depict the detection profiles with a static way, which lack good adaptability and interoperability. Furthermore, the detection rate is low, so they are difficult to be deployed the realtime detection under the high-speed network environment. In this paper, the excellent mechan...
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Negative Selection Algorithms (NSAs) have been widely used in anomaly detection. As the security issue becomes more complex, more and more anomaly detection schemes involve high-dimension data. NSAs however perform poorly on effectiveness and efficiency when dealing with high-dimension data. To address these issues, we propose a Neighborhood Negative Selection (NNS) algorithm in this paper. Ins...
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ژورنال
عنوان ژورنال: Progress in Natural Science
سال: 2009
ISSN: 1002-0071
DOI: 10.1016/j.pnsc.2008.06.008