A Novel Combination of Negative and Positive Selection in Artificial Immune Systems
http://repository.vnu.edu.vn/handle/VNU_123/962
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.
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Title:
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A Novel Combination of Negative and Positive Selection in
Artificial Immune Systems
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Authors:
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Keywords:
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Artificial immune systems;Negative selection;Positive
selection;Intrusion detection;Detector
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Issue Date:
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2015
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Publisher:
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H. : ĐHQGHN
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Citation:
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p. 22-31
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Series/Report no.:
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Vol. 31, No. 1;
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Abstract:
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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.
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URI:
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ISSN:
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0866-8612
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Appears in Collections:
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