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Artificial immune system : = applica...
~
Tan, Ying, (1964-)
Artificial immune system : = applications in computer security /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Artificial immune system :/ Ying Tan.
Reminder of title:
applications in computer security /
Author:
Tan, Ying,
Description:
1 online resource.
Subject:
Artificial immune systems. -
Online resource:
http://onlinelibrary.wiley.com/book/10.1002/9781119076582
ISBN:
9781119076582
Artificial immune system : = applications in computer security /
Tan, Ying,1964-
Artificial immune system :
applications in computer security /Ying Tan. - 1 online resource.
Includes bibliographical references and index.
Artificial Immune System -- Malware Detection -- Immune Principle and Neural Networks-Based Malware Detection -- Multiple-Point Bit Mutation Method of Detector Generation -- Malware Detection System Using Affinity Vectors -- Hierarchical Artificial Immune Model -- Negative Selection Algorithm with Penalty Factor -- Danger Feature-Based Negative Selection Algorithm -- Immune Concentration-Based Malware Detection Approaches -- Immune Cooperation Mechanism-Based Learning Framework -- Class-Wise Information Gai.
"This book focuses on the technologies and applications of artificial immune systems in malware and spam detection proposed in recent years by the computation intelligence laboratory at Peking University, China. It offers a theoretical perspective and practical solutions to graduate students, practitioners, and researchers working in the area of artificial immune system, machine learning, pattern recognition, and computer security"--
ISBN: 9781119076582
LCCN: 2015047440Subjects--Topical Terms:
1128841
Artificial immune systems.
Index Terms--Genre/Form:
554714
Electronic books.
LC Class. No.: QA76.875
Dewey Class. No.: 005.8
Artificial immune system : = applications in computer security /
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applications in computer security /
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Includes bibliographical references and index.
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Artificial Immune System -- Malware Detection -- Immune Principle and Neural Networks-Based Malware Detection -- Multiple-Point Bit Mutation Method of Detector Generation -- Malware Detection System Using Affinity Vectors -- Hierarchical Artificial Immune Model -- Negative Selection Algorithm with Penalty Factor -- Danger Feature-Based Negative Selection Algorithm -- Immune Concentration-Based Malware Detection Approaches -- Immune Cooperation Mechanism-Based Learning Framework -- Class-Wise Information Gai.
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"This book focuses on the technologies and applications of artificial immune systems in malware and spam detection proposed in recent years by the computation intelligence laboratory at Peking University, China. It offers a theoretical perspective and practical solutions to graduate students, practitioners, and researchers working in the area of artificial immune system, machine learning, pattern recognition, and computer security"--
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http://onlinelibrary.wiley.com/book/10.1002/9781119076582
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