Artificial Immune System
Applications in Computer Security
This book provides state-of-the-art information on the use, design, and development of the Artificial Immune System (AIS) and AIS-based solutions to computer security issues. Artificial Immune System: Applications in Computer Security focuses on the technologies and applications of AIS in malware detection proposed in recent years by the Computational Intelligence Laboratory of Peking University (CIL@PKU). It offers a theoretical perspective as well as practical solutions for readers interested in AIS, machine learning, pattern recognition and computer security. The book begins by introducing the basic concepts, typical algorithms, important…
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Produktdetails
- ISBN: 978-1-119-07652-0
- EAN: 9781119076520
- Produktnummer: 20211759
- Verlag: Wiley
- Sprache: Englisch
- Erscheinungsjahr: 2016
- Seitenangabe: 208 S.
- Plattform: EPUB
- Masse: 4'123 KB
Über den Autor
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.
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