Enhancing Computer Security with Smart Technology

V. Rao Vemuri

November 21, 2005 by Auerbach Publications
Reference - 288 Pages - 82 B/W Illustrations
ISBN 9780849330452 - CAT# AU3045


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  • Describes machine learning methods and tools and their application to cyber security
  • Explores computer attack taxonomy and provides examples of attack signatures
  • Presents feature selection, extraction, and ranking algorithms
  • Discusses limitations of current anti-virus tools in detecting malware variants
  • Applies the immune system metaphor to computer security problems
  • Examines the potential of wavelets in detecting the early stages of attacks
  • Proposes the use of a statistical toolbox and environment to streamline the computational steps of security applications
  • Summary

    Divided into two major parts, Enhancing Computer Security with Smart Technology introduces the problems of computer security to researchers with a machine learning background, then introduces machine learning concepts to computer security professionals.

    Realizing the massive scope of these subjects, the author concentrates on problems related to the detection of intrusions through the application of machine learning methods and on the practical algorithmic aspects of machine learning and its role in security.

    A collection of tutorials that draw from a broad spectrum of viewpoints and experience, this volume is made up of chapters written by specialists in each subject field. It is accessible to any professional with a basic background in computer science. Following an introduction to the issue of cyber-security and cyber-trust, the book offers a broad survey of the state-of-the-art in firewall technology and of the importance of Web application security. The remainder of the book focuses on the use of machine learning methods and tools and their performance.