Overview
- Includes recent research on applied cybersecurity
- Presents the proceedings of the Research track of the International Conference on Applied CyberSecurity (ACS) 2021
- Written by experts in the field
Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 378)
Included in the following conference series:
Conference proceedings info: ACS 2021.
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About this book
Cybersecurity has gained in awareness and media coverage in the last decade. Not a single week passes without a major security incident that affects a company, sector, or governmental agencies.
This proceedings of the International Conference on Applied CyberSecurity 2021 (ACS21), held in Dubai on 13 and 14 November, contains thirteen original contributions. More than half of the contributions are about applications of machine learning to accomplish several cybersecurity tasks, such as malware, phishing email detection, and Botnet detection. This was consistent with the current research and market trends. We divided this book into two parts; the first is focused on machine learning applications to cybersecurity, whereas the second groups the other approaches.
This book is suitable for cybersecurity researchers and practitioners as well as fresh graduates. It is also suitable for artificial intelligence researchers interested in exploring applications in cybersecurity.
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Keywords
Table of contents (13 papers)
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Front Matter
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Vulnerability and Infection Detection using Machine Learning
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Front Matter
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Securing and Hardening Information Systems
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Front Matter
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Back Matter
Other volumes
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Proceedings of the International Conference on Applied CyberSecurity (ACS) 2021
Editors and Affiliations
Bibliographic Information
Book Title: Proceedings of the International Conference on Applied CyberSecurity (ACS) 2021
Editors: Hani Ragab Hassen, Hadj Batatia
Series Title: Lecture Notes in Networks and Systems
DOI: https://doi.org/10.1007/978-3-030-95918-0
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Softcover ISBN: 978-3-030-95917-3Published: 02 February 2022
eBook ISBN: 978-3-030-95918-0Published: 01 February 2022
Series ISSN: 2367-3370
Series E-ISSN: 2367-3389
Edition Number: 1
Number of Pages: X, 143
Number of Illustrations: 16 b/w illustrations, 29 illustrations in colour
Topics: Computational Intelligence, Systems and Data Security