Proceedings of the International Conference on Applied CyberSecurity (ACS) 2021
Proceedings of the International Conference on Applied CyberSecurity (ACS) 2021
edited by Hani Ragab Hassen, Hadj Batatia
- First edition 2022
- 1 recurso en línea (X, 143 páginas) 45 ilustraciones, 29 ilustraciones a color
- Lecture Notes in Networks and Systems 378 2367-3389 .
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.
9783030959180
10.1007/978-3-030-95918-0 doi
Seguridad informática--Congresos y asambleas
Aprendizaje automático--Congresos y asambleas
Inteligencia artificial--Congresos y asambleas
QA76.9.A2 / 2022 EB TK5105.8855 / 2022 EB
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.
9783030959180
10.1007/978-3-030-95918-0 doi
Seguridad informática--Congresos y asambleas
Aprendizaje automático--Congresos y asambleas
Inteligencia artificial--Congresos y asambleas
QA76.9.A2 / 2022 EB TK5105.8855 / 2022 EB