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Machine Learning Approaches in Cyber Security Analytics

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Machine Learning Approaches in Cyber Security Analytics/ by Tony Thomas, Athira P. Vijayaraghavan, Sabu Emmanuel.
Author:	Thomas, Tony.
other author:	Emmanuel, Sabu.
Description:	XI, 209 p. 76 illus., 43 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Data Structures. -
Online resource:	https://doi.org/10.1007/978-981-15-1706-8
ISBN:	9789811517068

Machine Learning Approaches in Cyber Security Analytics
Thomas, Tony.

Machine Learning Approaches in Cyber Security Analytics[electronic resource] /by Tony Thomas, Athira P. Vijayaraghavan, Sabu Emmanuel. - 1st ed. 2020. - XI, 209 p. 76 illus., 43 illus. in color.online resource.

Chapter 1. Introduction -- Chapter 2. Machine Learning Algorithms -- Chapter 3. Machine Learning in Cyber Security Analytics -- Chapter 4. Applications of Support Vector Machines -- Chapter 5. Applications of Nearest Neighbor -- Chapter 6. Applications of Clustering -- Chapter 7. Applications of Dimensionality Reduction -- Chapter 8. Applications of other Machine Learning Methods.

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. .

ISBN: 9789811517068

Standard No.: 10.1007/978-981-15-1706-8doiSubjects--Topical Terms:

669824
Data Structures.

LC Class. No.: QA76.9.A25

Dewey Class. No.: 005.8

Machine Learning Approaches in Cyber Security Analytics
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