Machine Learning Approaches in Cyber Secur...

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Sprache: Englisch

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Beschreibung

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.

Zusammenfassung

Includes applications of the latest machine learning algorithms in cyber security

Discusses how applications in cyber security analytics complement machine learning research

Provides the latest research on malware detection based on machine intelligence

Is simple and easy to understand

Presents implementations and experimental results

Serves as a useful guide for both machine learning and cyber security communities

Inhaltsverzeichnis

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.

Details

Erscheinungsjahr:	2020
Genre:	Importe , Informatik
Rubrik:	Naturwissenschaften & Technik
Medium:	Buch
Inhalt:	xi 209 S. 33 s/w Illustr. 43 farbige Illustr. 209 p. 76 illus. 43 illus. in color.
ISBN-13:	9789811517051
ISBN-10:	9811517053
Sprache:	Englisch
Einband:	Gebunden
Autor:	Thomas, Tony Emmanuel, Sabu P. Vijayaraghavan, Athira
Auflage:	1st edition 2020
Hersteller:	Springer Singapore Springer Nature Singapore
Verantwortliche Person für die EU:	Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße:	241 x 160 x 17 mm
Von/Mit:	Tony Thomas (u. a.)
Erscheinungsdatum:	02.01.2020
Gewicht:	0,547 kg

Artikel-ID: 117618554