Includes index.

"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"-- Provided by publisher

Print version record and CIP data provided by publisher.

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.

English.

John Wiley and Sons Wiley Online Library: Complete oBooks