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Artificial Immune System: Applications in Computer Security

3.00 (1 ratings by Goodreads)

English

By (author): Ying Tan

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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Current price €90.47
Original price €103.99
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A01=Ying TanAge Group_UncategorizedAuthor_Ying Tanautomatic-updateCategory1=Non-FictionCategory=URYCOP=United StatesDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€50 to €100PS=Activesoftlaunch
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Product Details
  • Weight: 431g
  • Dimensions: 158 x 236mm
  • Publication Date: 05 Aug 2016
  • Publisher: John Wiley and Sons Ltd
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9781119076285

About Ying Tan

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 Springers 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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