Machine Learning Approaches in Cyber Security Analytics

Machine Learning Approaches in Cyber Security Analytics
Author :
Publisher : Springer Nature
Total Pages : 217
Release :
ISBN-10 : 9789811517068
ISBN-13 : 9811517061
Rating : 4/5 (68 Downloads)

Book Synopsis Machine Learning Approaches in Cyber Security Analytics by : Tony Thomas

Download or read book Machine Learning Approaches in Cyber Security Analytics written by Tony Thomas and published by Springer Nature. This book was released on 2019-12-16 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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