This book provides a comprehensive exploration of the security challenges and solutions with digital sustainability in the rapidly evolving digital landscape of digital forensics. It explores the details of protecting Internet of Medical Things (IoMT) environments, where the medical data, patient data, and machine data are at high risk with the digital experiences. The book seeks to provide researchers, medical practitioners, and IT specialists with important information. It aims to set the stage for a future in which security and efficiency in IoMT smoothly blend through real-world case studies. Key themes cover IoMT-specific forensic techniques, the difficulties of striking a balance between environmental responsibility and security, and creative solutions that combine the two viewpoints.
Hemant Kumar Saini works as an academic at Lincoln University, Malaysia, and the School of Computer Science Engineering at Bennett University (The Times Group), India. He earned his Ph.D. in Computer Science and Engineering from Manipal University. He has been honored for his research work in Master's degree from Governor of Rajasthan, in 2015. He has more than 14 years of teaching experience. He is an active member of ISTE, IEEE and IAENG, CSI. He has demonstrated his research prowress by publishing articles in the renowned SCI and Scopus journals and conference proceedings. He has published several national and international articles and authored, edited and coedited 18 books. Dr. Saini has delivered many expert talks in ATAL sponsored Faculty Development Programs and key note talks in many National and International Conferences. He is the member of Editorial Board and reviewer of many international journals of repute. His research interest includes wireless networks, Soft Computing, Deep and Machine Learning, Internet of Things (IoT), Industry 4.0, and Smart Contract. His contributions to these fields have been well-recognized, and he continues to push the boundaries of scientific knowledge.
Sita Rani works in the Department of Computer Science and Engineering at Guru Nanak Dev Engineering College, Ludhiana. She earned her Ph.D. in Computer Science and Engineering from I.K. Gujral Punjab Technical University, Kapurthala, Punjab in 2018. She has also completed Post Graduate Certificate Program in Data Science and Machine Learning from Indian Institute of Technology, Roorkee in 2023. She has completed her Postdoc from Big Data Mining and Machine Learning Lab, South Ural State University, Russia in August, 2023. She has more than 21 years of teaching experience. She is an active member of ISTE, IEEE and IAENG. She is the receiver of ISTE Section Best Teacher Award- 2020, and International Young Scientist Award-2021. She has contributed to the various research activities while publishing articles in the renowned SCI and Scopus journals and conference proceedings. She has published several national and international patents and authored, edited and coedited 9 books. Dr. Rani has delivered many expert talks in A.I.C.T.E. sponsored Faculty Development Programs and key note talks in many National and International Conferences. She has also organized many International Conferences during her 20 years of teaching experience. She is the member of Editorial Board and reviewer of many international journals of repute. She is also the vice-president of SME and MSME (UT Council), Women Indian Chamber of Commerce and Industry (WICCI) from last 3 years. Her research interest includes Parallel and Distributed Computing, Data Science, Machine Learning, Internet of Things (IoT), Industry 4.0, and Smart Healthcare.
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.
Zakaria Abou El Houda currently Professor at INRS, University of Quebec, Canada, he was a researcher at the Department of Computer Science and Operations Research, Université de Montréal, Montréal, Canada. He received the M.Sc. degree in computer networks from Paul Sabatier University, Toulouse, France, the Ph.D. degree in computer science from the University of Montréal, Canada and the Ph.D. degree in computer engineering from the University of Technology of Troyes, Troyes, France. He has made contributions in the fields of Information security, intrusion detection/prevention system, and security in software defined network. His current research interests include ML/DL-based intrusion detection, Federated learning, and Blockchain. He has also served and continues to serve on technical program committees and as a reviewer of several international conferences and journals, including IEEE ICC, IEEE Globecom, and IEEE transactions.
Hajar Moudoud currently Professor with the Department of Computer Science and Engineering of the Université du Québec en Outaouais (UQO), Canada, she received the B.Eng. degree in software engineering from the Mohammadia School of Engineers, Rabat, Morocco, in 2018, the Ph.D. degree in computer engineering from the University of Sherbrooke, Canada, and the Ph.D. degree in computer engineering from the University of Technology of Troyes, France, both in 2022. She is currently a Professor with the Department of Computer Science and Engineering of the Université du Québec en Outaouais (UQO), Canada. Prior to joining UQO, she served as a research scientist in various institutions, contributing to significant research projects on the security of the networks based on machine learning models. Her research interests include the security of the Internet of Things, applied machine/deep learning for intrusion detection systems, and leveraging blockchain to enhance the security of next-generation networks.
