Big Data Analytics with Applications in Insider Threat Detection

Bhavani Thuraisingham, Pallabi Parveen, Mohammad Mehedy Masud, Latifur Khan

December 1, 2017 by Auerbach Publications
Reference - 544 Pages - 50 B/W Illustrations
ISBN 9781498705479 - CAT# K24769

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Features

  • Outlines a technique whereby antivirus interfaces that reveal classification decisions can be exploited to infer confidential information about the underlying signature database. These classification decisions can be used as training inputs to data mining-based malware detectors
  • Details the tools, the types of malware the tools will detect, implementation of the tools in a cloud computing framework and the applications for threat detection

Summary

Today's malware mutates randomly to avoid detection, but reactively adaptive malware is more intelligent, learning and adapting to new computer defenses on the fly. Using the same algorithms that antivirus software uses to detect viruses, reactively adaptive malware deploys those algorithms to outwit antivirus defenses and to go undetected. This book provides details of the tools, the types of malware the tools will detect, implementation of the tools in a cloud computing framework and the applications for insider threat detection.

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