Machine Learning Approaches in Cyber Security Analytics
2020 ed.
Book Details
Format
Paperback / softback
ISBN-10
9811517088
ISBN-13
9789811517082
Edition
2020 ed.
Publisher
Springer Verlag, Singapore
Imprint
Springer Verlag, Singapore
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jan 2nd, 2021
Print length
209 Pages
Product Classification:
Coding theory & cryptologyCoding theory and cryptologyCriminal law & procedureCriminal law: procedure and offencesDigital, IT and Communications lawIT & Communications lawDigital and Information technology: general topicsInformation technology: general issuesDatabasesDatabases / Data managementComputer securityData encryptionNetwork security
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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.
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.
Get Machine Learning Approaches in Cyber Security Analytics by Athira P. Vijayaraghavan, Sabu Emmanuel at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer Verlag, Singapore and it has 209 pages.
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