Majdi Owda

Work place: Faculty of Data Science, Arab American University (AAUP), Ramallah, Palestine

E-mail: majdi.owda@aaup.edu

Website:

Research Interests: Digital Forensics, Internet of Things

Biography

Majdi Owda an Associate Professor in Computer Science and Dean of Faculty in Data Science at Arab American University. In addition, he is a UNESCO Chair for Data Science for Sustainable Development. Worked as a head of Department of Natural, Engineering, and Technology Sciences at Arab American University. Worked in School of Computing, Mathematics, and Digital Technology at Manchester Metropolitan University. He gained an MSc in Computer Science from Manchester Metropolitan University and a Ph.D. in Computer Science. His research interest is in Digital Forensics Processes and Frameworks and Internet of Things Digital Forensics Artefacts and Security.

Author Articles
Towards Digital Forensics 4.0: A Multilevel Digital Forensics Framework for Internet of Things (IoT) Devices

By Yaman Salem Majdi Owda Amani Yousef Owda

DOI: https://doi.org/10.5815/ijwmt.2024.02.03, Pub. Date: 8 Apr. 2024

The Internet of Things (IoT) driven Industrial Revolution 4.0 (IR4.0) and this is impacting every sector of the global economy. With IoT devices, everything is computerized. Today's digital forensics is no longer limited to computers, mobiles, or networks. The current digital forensics landscape demands a significantly different approach. The traditional digital forensics frameworks no longer meet the current requirements. Therefore, in this paper, we propose a novel framework called “Multi-level Artifact of Interest Digital Forensics Framework for IoT” (MAoIDFF-IoT). The keynote "Multi-level" aims to cover all levels of the IoT architecture. Our novel IoT digital forensics framework focuses on the Artifact of Interest (AoI). Additionally, it proposes the action/detection matrix. It encompasses the advantages of the previous frameworks while introducing new features specifically designed to make the framework suitable for current and future IoT investigation scenarios. The MAoIDFF-IoT framework is designed to face the challenges of IoT forensic analysis and address the diverse architecture of IoT environments. Our proposed framework was evaluated through real scenario experiments. The evaluation of the experimental results reveals the superiority of our framework over existing frameworks in terms of usability, inclusivity, focus on the (AoI), and acceleration of the investigation process.

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