Proceedings of the International Conference on Applied Cybersecurity Acs 2021
Language: English
Published by Springer, 2022
Series: Book 1 of 391 - Lecture Notes in Networks and Systems
- Softcover
- Used

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- Title
- Proceedings of the International Conference on Applied Cybersecurity Acs 2021
- Author
- Hassen, Hani Ragab (EDT); Batatia, Hadj (EDT)
- Publisher
- Springer
- Publication year
- 2022
- Condition
- As New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3030959171
- ISBN 13
- 9783030959173
- Series
- Book 1 of 391: Lecture Notes in Networks and Systems
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
GreatBookPrices
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