Prof. Dr. Mourade Azrour received his PhD from Faculty of sciences and Techniques, Moulay Ismail University of Meknes, Morocco. He has received his MS in computer and distributed systems from Faculty of Sciences, Ibn Zouhr University, Agadir, Morocco in 2014. Mourade currently works as computer sciences professor at the Department of Computer Science, Faculty of Sciences and Techniques, Moulay Ismail University of Meknès. His research interests include Authentication protocol, Computer Security, Internet of things, Smart systems, Machine learning and so ones. Mourade is member of the member of the scientific committee of numerous international conferences. He is also a reviewer of various scientific journals. He has published more than 163 scientific papers and book chapters. Mourade Has edited many scientific books for example: “IoT, Machine Learning and Data Analytics for Smart Healthcare”, “Blockchain and Machine Learning for IoT Security”, “IoT and Smart Devices for Sustainable Environment”, “Advanced Technology for Smart Environment and Energy”, and so ones. Finally, he has served as guest editor in journals “EAI Endorsed Transactions on Internet of Things”, “Tsinghua Science and Technology”, “Applied Sciences MDPI” and “Sustainability MDPI”Prof. Dr. Abdulatif Alabdulatif is an assistant professor at the School of Computer Science & IT, Qassim University, Saudi Arabia. He completed his Ph.D. degree in Computer Science from RMIT University, Australia in 2018. He received his B.Sc. degree in Computer Science from Qassim University, Saudi Arabia in 2008 and his M.Sc. degree in Computer Science from RMIT University, Australia in 2013. He has published more than 70 academic papers in prominent journals. His research interests include applied cryptography, cloud computing, and E-health.

• 1 Authentication in the Internet of Medical Things: review and comparative study.- 2 ECC based Anonymous and Multi-factor Authentication Scheme for IoT Environment.- 3 Implementing Zero-Knowledge Authentication in the Internet of Medical Things.- 4 Machine and Deep Learning Techniques in IoT Security: A Comprehensive Survey.- 5 Comparative analysis of intrusion detection systems in Industry 5.0 systems.- 6 A Novel Intrusion Detection System for IoT in Smart Agriculture Using Crowd Wisdom and RBF Neural Networks.- 7 IoT-Based Smart Farming Security: A Malicious Detection Approach Using Artificial Neural Networks.- 8 Exploring IoT Security Risks and Protective Strategies in Industry 5.0.- 9 Advanced Network Surveillance and Security Enhancement Through Deep Learning.- 10 Blockchain and IoT  Applications: Opportunities, and Challenges.- 11 Blockchain-driven security solutions for IoT.

Prof. Dr. Mourade Azrour received his PhD from Faculty of sciences and Techniques, Moulay Ismail University of Meknes, Morocco. He has received his MS in computer and distributed systems from Faculty of Sciences, Ibn Zouhr University, Agadir, Morocco in 2014. Mourade currently works as computer sciences professor at the Department of Computer Science, Faculty of Sciences and Techniques, Moulay Ismail University of Meknès. His research interests include Authentication protocol, Computer Security, Internet of things, Smart systems, Machine learning and so ones. Mourade is member of the member of the scientific committee of numerous international conferences. He is also a reviewer of various scientific journals. He has published more than 163 scientific papers and book chapters. Mourade Has edited many scientific books for example: “IoT, Machine Learning and Data Analytics for Smart Healthcare”, “Blockchain and Machine Learning for IoT Security”, “IoT and Smart Devices for Sustainable Environment”, “Advanced Technology for Smart Environment and Energy”, and so ones. Finally, he has served as guest editor in journals “EAI Endorsed Transactions on Internet of Things”, “Tsinghua Science and Technology”, “Applied Sciences MDPI” and “Sustainability MDPI”Prof. Dr. Abdulatif Alabdulatif is an assistant professor at the School of Computer Science & IT, Qassim University, Saudi Arabia. He completed his Ph.D. degree in Computer Science from RMIT University, Australia in 2018. He received his B.Sc. degree in Computer Science from Qassim University, Saudi Arabia in 2008 and his M.Sc. degree in Computer Science from RMIT University, Australia in 2013. He has published more than 70 academic papers in prominent journals. His research interests include applied cryptography, cloud computing, and E-health.

• 1 Authentication in the Internet of Medical Things: review and comparative study.- 2 ECC based Anonymous and Multi-factor Authentication Scheme for IoT Environment.- 3 Implementing Zero-Knowledge Authentication in the Internet of Medical Things.- 4 Machine and Deep Learning Techniques in IoT Security: A Comprehensive Survey.- 5 Comparative analysis of intrusion detection systems in Industry 5.0 systems.- 6 A Novel Intrusion Detection System for IoT in Smart Agriculture Using Crowd Wisdom and RBF Neural Networks.- 7 IoT-Based Smart Farming Security: A Malicious Detection Approach Using Artificial Neural Networks.- 8 Exploring IoT Security Risks and Protective Strategies in Industry 5.0.- 9 Advanced Network Surveillance and Security Enhancement Through Deep Learning.- 10 Blockchain and IoT  Applications: Opportunities, and Challenges.- 11 Blockchain-driven security solutions for IoT.

Prof. Dr. Mourade Azrour received his PhD from Faculty of sciences and Techniques, Moulay Ismail University of Meknes, Morocco. He has received his MS in computer and distributed systems from Faculty of Sciences, Ibn Zouhr University, Agadir, Morocco in 2014. Mourade currently works as computer sciences professor at the Department of Computer Science, Faculty of Sciences and Techniques, Moulay Ismail University of Meknès. His research interests include Authentication protocol, Computer Security, Internet of things, Smart systems, Machine learning and so ones. Mourade is member of the member of the scientific committee of numerous international conferences. He is also a reviewer of various scientific journals. He has published more than 163 scientific papers and book chapters. Mourade Has edited many scientific books for example: “IoT, Machine Learning and Data Analytics for Smart Healthcare”, “Blockchain and Machine Learning for IoT Security”, “IoT and Smart Devices for Sustainable Environment”, “Advanced Technology for Smart Environment and Energy”, and so ones. Finally, he has served as guest editor in journals “EAI Endorsed Transactions on Internet of Things”, “Tsinghua Science and Technology”, “Applied Sciences MDPI” and “Sustainability MDPI”Prof. Dr. Abdulatif Alabdulatif is an assistant professor at the School of Computer Science & IT, Qassim University, Saudi Arabia. He completed his Ph.D. degree in Computer Science from RMIT University, Australia in 2018. He received his B.Sc. degree in Computer Science from Qassim University, Saudi Arabia in 2008 and his M.Sc. degree in Computer Science from RMIT University, Australia in 2013. He has published more than 70 academic papers in prominent journals. His research interests include applied cryptography, cloud computing, and E-health.

• 1 Authentication in the Internet of Medical Things: review and comparative study.- 2 ECC based Anonymous and Multi-factor Authentication Scheme for IoT Environment.- 3 Implementing Zero-Knowledge Authentication in the Internet of Medical Things.- 4 Machine and Deep Learning Techniques in IoT Security: A Comprehensive Survey.- 5 Comparative analysis of intrusion detection systems in Industry 5.0 systems.- 6 A Novel Intrusion Detection System for IoT in Smart Agriculture Using Crowd Wisdom and RBF Neural Networks.- 7 IoT-Based Smart Farming Security: A Malicious Detection Approach Using Artificial Neural Networks.- 8 Exploring IoT Security Risks and Protective Strategies in Industry 5.0.- 9 Advanced Network Surveillance and Security Enhancement Through Deep Learning.- 10 Blockchain and IoT  Applications: Opportunities, and Challenges.- 11 Blockchain-driven security solutions for IoT.