A Novel Combination of Negative and Positive Selection in Artificial Immune Systems

Artificial Immune System (AIS) is a multidisciplinary research area that combines the principles of immunology and computation. Negative Selection Algorithms (NSA) is one of the most popular models of AIS mainly designed for one-class learning problems such as anomaly detection. Positive Selection Algorithms (PSA) is the twin brother of NSA with quite similar performance for AIS. Both NSAs and PSAs comprise of two phases: generating a setD of detectors from a given set.

Title: A Novel Combination of Negative and Positive Selection in Artificial Immune Systems
Authors: Nguyen, Van Truong
Nguyen, Xuan Hoai
Luong, Chi Mai
Keywords: Artificial immune systems
Negative selection
Positive selection
Intrusion detection
Detector
Issue Date: 2015
Publisher: H. : ĐHQGHN
Citation: p. 22-31
Series/Report no.: Vol. 31, No. 1;
Abstract: Artificial Immune System (AIS) is a multidisciplinary research area that combines the principles of immunology and computation. Negative Selection Algorithms (NSA) is one of the most popular models of AIS mainly designed for one-class learning problems such as anomaly detection. Positive Selection Algorithms (PSA) is the twin brother of NSA with quite similar performance for AIS. Both NSAs and PSAs comprise of two phases: generating a setD of detectors from a given set.
URI: http://repository.vnu.edu.vn/handle/VNU_123/962
ISSN: 0866-8612
Appears in Collections:Chuyên san Công nghệ thông tin và Truyền thông

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