Machine Learning Approaches in Cyber Security Analytics /

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 cyb...

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Bibliographic Details
Main Authors:	Thomas, Tony (Author), P. Vijayaraghavan, Athira (Author), Emmanuel, Sabu (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Singapore : Springer Singapore : Imprint: Springer, 2020.
Edition:	1st ed. 2020.
Subjects:	Computer security. Application software. Data encryption (Computer science). Computer crimes. Data structures (Computer science). Systems and Data Security. Information Systems Applications (incl. Internet). Cryptology. Cybercrime. Data Structures. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

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.