Cybersecurity Analytics: Chapman & Hall/CRC Data Science Series

As the world becomes increasingly digital, the need for robust cybersecurity measures is more critical than ever before. Cybersecurity analytics plays a vital role in protecting organizations from cyber threats by analyzing data to identify vulnerabilities, detect attacks, and mitigate risks.

Cybersecurity Analytics (Chapman & Hall/CRC Data Science Series)

by Dana Marton

4 out of 5

Language	:	English
File size	:	16851 KB
Screen Reader	:	Supported
Print length	:	356 pages

FREE

Cybersecurity Analytics: Chapman & Hall/CRC Data Science Series provides a comprehensive overview of the fundamental principles and applications of cybersecurity analytics. This authoritative reference work explores the latest developments in data science techniques and their application to cybersecurity challenges, including intrusion detection, malware analysis, and cybercrime investigation.

With contributions from leading experts in the field, Cybersecurity Analytics serves as an essential resource for practitioners, researchers, and students alike.

Key Features

• Provides a comprehensive overview of the fundamental principles and applications of cybersecurity analytics
• Covers the latest developments in data science techniques and their application to cybersecurity challenges
• Includes contributions from leading experts in the field
• Serves as an essential resource for practitioners, researchers, and students alike

Audience

Cybersecurity Analytics: Chapman & Hall/CRC Data Science Series is intended for a broad audience of practitioners, researchers, and students in the field of cybersecurity. This book will be of particular interest to those working in the areas of intrusion detection, malware analysis, and cybercrime investigation.

Table of Contents

1. to Cybersecurity Analytics
2. Data Collection and Preprocessing for Cybersecurity Analytics
3. Statistical Methods for Cybersecurity Analytics
4. Machine Learning for Cybersecurity Analytics
5. Deep Learning for Cybersecurity Analytics
6. Big Data Analytics for Cybersecurity
7. Visualization for Cybersecurity Analytics
8. Cybersecurity Analytics Case Studies
9. Future Directions in Cybersecurity Analytics

About the Authors

Dr. Xinyi Dong is an Associate Professor of Computer Science at the University of North Carolina at Charlotte. His research interests include cybersecurity, data mining, and machine learning. He has published over 100 papers in top-tier journals and conferences.

Dr. Peng Ning is a Professor of Computer Science at the University of North Carolina at Chapel Hill. His research interests include cybersecurity, network security, and distributed systems. He has published over 200 papers in top-tier journals and conferences.

Order Your Copy Today

Cybersecurity Analytics: Chapman & Hall/CRC Data Science Series is available for purchase from CRC Press. To order your copy, please visit the CRC Press website.

Cybersecurity Analytics (Chapman & Hall/CRC Data Science Series)

by Dana Marton

4 out of 5

Language	:	English
File size	:	16851 KB
Screen Reader	:	Supported
Print length	:	356 pages

FREE