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Machine Learning Approaches in Cyber Security Analytics

Specificaties
Gebonden, blz. | Engels
Springer Nature Singapore | e druk, 2020
ISBN13: 9789811517051
Rubricering
Springer Nature Singapore e druk, 2020 9789811517051
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9789811517051
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer Nature Singapore

Inhoudsopgave

<p>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.</p>

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        Machine Learning Approaches in Cyber Security Analytics