Proceedings of the International Conference on Applied CyberSecurity (ACS) 2021
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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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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.