Overview
- Includes recent research on applied cybersecurity
- Presents the proceedings of the Research track of the International Conference on Applied CyberSecurity (ACS)2023
- Is suitable for cybersecurity researchers, practitioners, and enthusiasts
Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 760)
Included in the following conference series:
Conference proceedings info: ACS 2023.
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About this book
This book presents the proceedings of the International Conference on Applied Cyber Security 2023 (ACS23), held in Dubai on the April 29, containing seven original contributions. Cybersecurity is continuously attracting the world’s attention and 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. Most of the contributions are about applications of machine learning to accomplish several cybersecurity tasks, such as malware, network intrusion, and spam email detection. Similar trends of increasing AI applications are consistent with the current research and market trends in cybersecurity and other fields. We divided this book into two parts; the first is focused on malicious activity detection using AI, whereas the second groups AI applications to tackle a selection of cybersecurity problems.
This book is suitable for cybersecurity researchers, practitioners, enthusiasts, as well as fresh graduates. It is also suitable for artificial intelligence researchers interested in exploring applications in cybersecurity. Prior exposure to basic machine learning concepts is preferable, but not necessary.
Keywords
Table of contents (7 papers)
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Malicious Activity Detection Using AI
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AI Applications in Cybersecurity
Other volumes
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Proceedings of the International Conference on Applied Cybersecurity (ACS) 2023
Editors and Affiliations
Bibliographic Information
Book Title: Proceedings of the International Conference on Applied Cybersecurity (ACS) 2023
Editors: Hind Zantout, Hani Ragab Hassen
Series Title: Lecture Notes in Networks and Systems
DOI: https://doi.org/10.1007/978-3-031-40598-3
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 2023
Softcover ISBN: 978-3-031-40597-6Published: 08 September 2023
eBook ISBN: 978-3-031-40598-3Published: 07 September 2023
Series ISSN: 2367-3370
Series E-ISSN: 2367-3389
Edition Number: 1
Number of Pages: VIII, 67
Number of Illustrations: 8 b/w illustrations, 8 illustrations in colour
Topics: Data Engineering, Computational Intelligence, Systems and Data Security