Machine Learning Approaches in Cyber Security Analytics 1st edition by Tony Thomas, Athira P. Vijayaraghavan, Sabu Emmanuel – Ebook PDF Instant Download/DeliveryISBN: 9811517061, 9789811517068
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Product details:
ISBN-10 : 9811517061
ISBN-13 : 9789811517068
Author : Tony Thomas, Athira P. Vijayaraghavan, Sabu Emmanuel
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.
Machine Learning Approaches in Cyber Security Analytics 1st Table of contents:
1. Introduction
2. Introduction to Machine Learning
3. Machine Learning and Cybersecurity
4. Support Vector Machines and Malware Detection
5. Clustering and Malware Classification
6. Nearest Neighbor and Fingerprint Classification
7. Dimensionality Reduction and Face Recognition
8. Neural Networks and Face Recognition
9. Applications of Decision Trees
10. Adversarial Machine Learning in Cybersecurity
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