Machine Learning Approaches in Cyber Security Analytics

Machine Learning Approaches in Cyber Security Analytics

1st Edition 2020

Paperback (02 Jan 2021)

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Publisher's Synopsis

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.

Book information

ISBN: 9789811517082
Publisher: Springer Nature Singapore
Imprint: Springer
Pub date:
Edition: 1st Edition 2020
Language: English
Number of pages: 209
Weight: 454g
Height: 235mm
Width: 155mm