Artificial immune system : applications in computer security

Author

• Tan, Ying

Additional Author(s)

-

Publisher

Hoboken, New Jersey: John Wiley and Sons, Inc., 2016

Language

English

ISBN

9781119076582

Series

Subject(s)

• ARTIFICIAL IMMUNE SYSTEMS
• COMPUTER NETWORKS-SECURITY MEASURES
• COMPUTER SECURITY

Notes

• Includes bibliographical references and index

. .

Abstract

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)

Physical Dimension

Number of Page(s)

1 online resource (xxvii, 174 p.)

Dimension

-

Other Desc.

-

Summary / Review / Table of Content

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.

Exemplar(s)

#	Accession No.	Call Number	Location	Status
1.	01106/19	005.8 Tan A	Online !	Available