Gebundenes Buch

AI-Driven Cybersecurity

Revolutionizing Threat Detection and Defence Systems

Herausgeber: Razavi, Hooman; Ouaissa, Mariyam; Ouaissa, Mariya

Beschreibung

Designed for professionals, researchers, and decision-makers, this book emphasizes that understanding and leveraging AI in cybersecurity is not just advantageous-it is essential for building robust, future-proof defenses in a world where digital security is paramount

Autor

Dr. Hooman Razavi is currently an Associate Research Assistant in the Department of Engineering Science at Tecnológico de Monterrey, Mexico. He holds a BSc in Computer Engineering, an MSc in Artificial Intelligence, a Doctorate in Business Administration, and a PhD in Engineering Science. Dr. Razavi has served as a sessional lecturer at University Canada West (2017-2022) and as a lecturer for the United Nations (UNITAR) IoT course. He has published widely in conferences, book chapters, and journal papers in the fields of applied AI and cybersecurity. His professional experience also includes roles as a Senior Data Scientist and consultant in several fintech firms. He currently serves on the editorial board of the International Journal of Cybersecurity and Risk Assessment and is an Associate Editor of GraduaTEC journal. Dr. Razavi has reviewed for numerous Q1 journals, including IEEE Transactions on Artificial Intelligence, Information Systems Journal (Wiley), Expert Systems with Applications, Engineering Applications of Artificial Intelligence, Applied Soft Computing, IEEE Access, and Digital Business. Additionally, he has served on technical program committees for leading conferences, such as ICLR 2025, NeurIPS 2024, AISTATS 2025, IEEE WINCOM, IEEE CSR 2024, ICACTCE 2024, ICBDDM 2024, IEEE GCAIoT 2024, IEEE CSNet 2024, ICMI 2025, and RIVF 2024. Dr. Razavi has also been a keynote speaker at numerous international conferences and has conducted multiple webinars. Mariya Ouaissa is currently a Professor in Cybersecurity and Networks at Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech, Morocco. She is a Ph.D. graduated in 2019 in Computer Science and Networks from ENSAM-Moulay Ismail University, Meknes, Morocco. She is a Networks and Telecoms Engineer, graduated in 2013 from National School of Applied Sciences Khouribga, Morocco. She is a Co-Founder and IT Consultant at IT Support and Consulting Center. She was working for School of Technology of Meknes Morocco as a Visiting Professor from 2013 to 2021. She is member of the International Association of Engineers and International Association of Online Engineering, and since 2021, she is an "ACM Professional Member". She is Expert Reviewer with Academic Exchange Information Centre (AEIC) and Brand Ambassador with Bentham Science. She has served and continues to serve on technical program and organizer committees of several conferences and events and has organized many Symposiums/Workshops/Conferences as a General Chair also as a reviewer of numerous international journals. Dr. Ouaissa has made contributions in the fields of information security and privacy, Internet of Things security, and wireless and constrained networks security. Her main research topics are IoT, M2M, D2D, WSN, Cellular Networks, and Vehicular Networks. She has published over 80 papers (book chapters, international journals, and conferences/workshops), 30 edited books, and 10 special issues as guest editor. Mariyam Ouaissa is currently an Assistant Professor in Networks and Systems at ENSA, Chouaib Doukkali University, El Jadida, Morocco. She received her Ph.D. degree in 2019 from National Graduate School of Arts and Crafts, Meknes, Morocco and her Engineering Degree in 2013 from the National School of Applied Sciences, Khouribga, Morocco. She is a communication and networking researcher and practitioner with industry and academic experience. Dr Ouaissa's research is multidisciplinary that focuses on Internet of Things, M2M, WSN, vehicular communications and cellular networks, security networks, congestion overload problem and the resource allocation management and access control. She is serving as a reviewer for international journals and conferences including as IEEE Access, Wireless Communications and Mobile Computing. Since 2020, she is a member of "International Association of Engineers IAENG" and "International Association of Online Engineering", and since 2021, she is an "ACM Professional Member". She has published more than 60 research papers (this includes book chapters, peer-reviewed journal articles, and peer-reviewed conference manuscripts), 20 edited books, and 6 special issue as guest editor. She has served on Program Committees and Organizing Committees of several conferences and events and has organized many Symposiums / Workshops / Conferences. Dr. Haïfa Nakouri is a Machine Learning specialist and currently holds the position of Invited Professor of Computer Science at the University of Quebec at Chicoutimi (UQAC). She is also an Assistant Professor in Business Computing at the Higher School of Digital Economy, University of Manouba, Tunisia. Dr. Nakouri obtained her Business Computing Bachelor, M.Sc., and PhD degrees from the Higher Institute of Management, University of Tunis, Tunisia (ISG Tunis) in 2007, 2009, and 2016, respectively. She is associated with the LARODEC laboratory at ISG Tunis and focuses on research topics such as Machine learning, Responsible/Secure AI, Computer Vision, and Image Processing. Her developed expertise in analyzing the vulnerabilities and shortcomings of Machine Learning models and designing solutions to enhance their resilience. Dr. Nakouri is a member of the UQAC Cybersecurity Research Chair, where she collaborates with experts in the field to advance knowledge in learning model security. She is actively involved in various international research projects and collaborations and has published over 25 research papers. Additionally, she has contributed to Program Committees, Organizing Committees, and chaired several reputable international conferences and workshops. Dr. Ahmed Abdelgawad received his M.S. and a Ph.D. degree in Computer Engineering from University of Louisiana at Lafayette in 2007 and 2011 and subsequently joined IBM as a Design Aids & Automation Engineering Professional at Semiconductor Research and Development Center. In Fall 2012 he joined Central Michigan University as a Computer Engineering Assistant Professor. In Fall 2022, Dr. Abdelgawad was promoted to the rank of Professor. He is a senior member of IEEE. His area of expertise is Internet of Things (IoT), distributed computing for Wireless Sensor Network (WSN), Structural Health Monitoring (SHM), data fusion techniques for WSN, low power embedded system, digital signal processing, Robotics, RFID, Localization, VLSI, and FPGA design. He has published two books and more than 130 articles in related journals and conferences. a reviewer for several journals and conferences, including IEEE IoT Journal, IEEE Communications Magazine, IEEE Transactions on VLSI, and IEEE Transactions on I&M, Springer, Elsevier, IEEE WF-IoT, IEEE ISCAS, IEEE SAS, and IEEE MWSCAS. Dr. Abdelgawad served as the general chair of the IEEE International Conference on Artificial Intelligence, Blockchain, and Internet of Things, (AIBThings2023), the 3rd IEEE International Conference on Computing and Machine Intelligence (ICMI2024), and the International Conference on Intelligent Systems, Blockchain, and Communication Technologies (ISBCom2024). He severed in the organizing committees of IEEE WF-IoT, IEEE ISCAS, IEEE ICIP, IEEE SiPS, IEEE MWSCAS, and GIoTS. In addition, he taught many short IoT courses in different countries. He was the keynote speakers for many international conferences and conducted many webinars. He is currently the IEEE Northeast Michigan section chair and IEEE SPS Internet of Things (IoT) SIG Member. In the last few years, Dr. Abdelgawad was listed in the world's top 2 % of scientists by "Stanford University", USA. In addition, Dr. Abdelgawad served as a PI and Co-PI for several funded grants from NSF.

Produktdetails

• Verlag: CRC Press
• Seitenzahl: 302
• Erscheinungstermin: 26. September 2025
• Englisch
• Abmessung: 240mm x 161mm x 21mm
• Gewicht: 619g
• ISBN-13: 9781041050339
• ISBN-10: 104105033X
• Artikelnr.: 73872342