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Data Mining Tools for Malware Detection

Data Mining Tools for Malware Detection

Interesting Research Book in Data Mining Tools for Malware Detection

Author(s) Name:  Mehedy Masud, Latifur Khan, Bhavani Thuraisingham

About the Book:

   Although the use of data mining for security and malware detection is quickly on the rise, most books on the subject provide high-level theoretical discussions to the near exclusion of the practical aspects. Breaking the mold, Data Mining Tools for Malware Detection provides a step-by-step breakdown of how to develop data mining tools for malware detection. Integrating theory with practical techniques and experimental results, it focuses on malware detection applications for email worms, malicious code, remote exploits, and botnets.
   The authors describe the systems they have designed and developed: email worm detection using data mining, a scalable multi-level feature extraction technique to detect malicious executables, detecting remote exploits using data mining, and flow-based identification of botnet traffic by mining multiple log files.
   From algorithms to experimental results, this is one of the few books that will be equally valuable to those in industry, government, and academia. It will help technologists decide which tools to select for specific applications, managers will learn how to determine whether or not to proceed with a data mining project, and developers will find innovative alternative designs for a range of applications.

Table of Contents

  • Introduction
  • Data Mining Techniques
  • Malware
  • Data Mining for Security Applications
  • Design and Implementation of Data Mining Tools
  • ISBN:  9781439854549

    Publisher:  Auerbach Publications

    Year of Publication:  2011

    Book Link:  Home Page Url