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Artificial Immune System – Applications in Computer Security

Autor Y Tan
en Limba Engleză Hardback – 4 aug 2016
This book deals with malware detection in terms of Artificial Immune System (AIS), and presents a number of AIS models and immune-based feature extraction approaches as well as their applications in computer security * Covers all of the current achievements in computer security based on immune principles, which were obtained by the Computational Intelligence Laboratory of Peking University, China * Includes state-of-the-art information on designing and developing artificial immune systems (AIS) and AIS-based solutions to computer security issues * Presents new concepts such as immune danger theory, immune concentration, and class-wise information gain (CIG)
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Specificații

ISBN-13: 9781119076285
ISBN-10: 1119076285
Pagini: 208
Dimensiuni: 162 x 242 x 19 mm
Greutate: 0.48 kg
Editura: Wiley
Locul publicării:Hoboken, United States

Public țintă

Primary audience: research scientists and professionals working in areas such as artificial immune systems, machine learning, pattern recognition, and computer security

Secondary audience: students studying computer science, information science, and related specialties

Cuprins


Notă biografică

Ying Tan, PhD, is a Professor of Peking University, China. Dr. Tan is also the director of CIL@PKU. He serves as the editor-in-chief of International Journal of Computational Intelligence and Pattern Recognition, associate editor of IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems, and International Journal of Swarm Intelligence Research, and also as an Editor of Springer's Lecture Notes on Computer Science (LNCS). He is the founder and chair of the ICSI International Conference series. Dr. Tan is a senior member of the IEEE, ACM, and CIE. He has published over two-hundred papers in refereed journals and conferences in areas such as computational intelligence, swarm intelligence, data mining, and pattern recognition for information security.