Machine Learning Approaches in Cyber Security Analytics

£129.50

Machine Learning Approaches in Cyber Security Analytics

Coding theory and cryptology Computer crime, cybercrime Databases Computer security Data encryption Network security Applied computing

Authors: Tony Thomas, Athira P. Vijayaraghavan, Sabu Emmanuel

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Language: English

Published by: Springer

Published on: 16th December 2019

Format: LCP-protected ePub

Size: 30 Mb

ISBN: 9789811517068


Introduction to Machine Learning in Cyber Security

This book introduces various machine learning methods for cyber security analytics. With an overwhelming amount of data being generated and transferred over various networks, monitoring everything that is exchanged and identifying potential cyber threats and attacks poses a serious challenge for cyber experts. Further, as cyber attacks become more frequent and sophisticated, there is a requirement for machines to predict, detect, and identify them more rapidly. Machine learning offers various tools and techniques to automate and quickly predict, detect, and identify cyber attacks.

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