Ying Tan's Artificial Immune System: Applications in Computer Security PDF

By Ying Tan

ISBN-10: 1119076285

ISBN-13: 9781119076285

This publication offers with malware detection when it comes to synthetic Immune procedure (AIS), and offers a couple of AIS types and immune-based characteristic extraction methods in addition to their purposes in laptop security

  • Covers all the present achievements in desktop safeguard in keeping with immune ideas, which have been received via the Computational Intelligence Laboratory of Peking collage, China
  • Includes cutting-edge info on designing and constructing synthetic immune structures (AIS) and AIS-based options to desktop defense issues
  • Presents new ideas equivalent to immune hazard thought, immune concentration,  and class-wise details achieve (CIG) 

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Additional resources for Artificial Immune System: Applications in Computer Security

Sample text

Step 3 Abort condition judgment; if the variant does not contain a sufficient concentration detector detector, steer for Step 2, otherwise abort. 5 Artificial Immune System Models and Algorithms 7 the clonal selection mechanism of the artificial immune system [8,9]. In the B cell cloning process, according to the affinity, clonal selection algorithm in the vicinity of the candidate to produce a variation of individual clones as a population of indi­ viduals for expanding the search. , avoid falling into local minima [10], then leads to improving the optimization speed of the algorithm [11].

The excitation of a B cell is not only affected by the antigen, but also affected by the excitation and inhibition from other B cells in the immune network. Inspired by the ideology of the immune network theory, Hunt and Cooke [25] proposed an artificial immune network method and applied it to the DNA sequence recognition. In this method, B cells are correlated according to the degree of affinity and inhibition. The population of B cells includes two subgroups: the initial popula­ tion and the cloned population.

These attractive properties of the biological immune system have drawn exten­ sive attention of engineering researchers who have proposed many novel algorithms and techniques based on those principles of immunology. After introducing the con­ cept of immunity, many researchers in engineering have obtained more and more promising results, such as computer network security, intelligent robots, intelligent control, and pattern recognition and fault diagnosis. These research efforts and appli­ cations not only can help us to further understand the immune system itself, but also to re-examine and solve practical engineering problems from the perspective of information processing way in biological immune system.

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Artificial Immune System: Applications in Computer Security by Ying Tan


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