Date of Award
Master of Science (MS)
Computer Engineering and Sciences
Despite the abundance articles that have been written about the Internet of Things (IoT), little attention has been given to how digital forensics approaches can be utilized to direct advanced investigations in IoT-based frameworks. As of yet, IoT has not completely adjusted to digital forensic strategies given the fact that current digital forensic tools and functions are not ready to tackle the complexity of IoT frameworks for the purpose of collecting, analyzing, and testing potential evidence from IoT environments that might be utilized as permissible evidence in a court. Hence, the issue addressed is that; currently, there is no accepted digital forensic frame work that can be used to conduct digital forensic investigations in IoT-based environments. Besides that, at the time of this writing, there has been little focus on how to gather and save network and server logs from IoT-based environments for investigative purposes. Based on this premise, we propose a digital forensic frame work called Radlen, a light weight digital forensic investigation mode that is able to enhance and support future IoT investigative capabilities. Radlen is able to coordinate and manage IoT devices within a smart apartment using a smart watch to satisfy the user’s needs, preserve security, and make decisions automatically. The authors simulate the Radlen system using a Java application that learns users needs and security preferences during installation as using a MySQL server to to save all data communications logs for IoT devices.
Alharbi, Raed, "Collection and Analysis of Digital Forensic Data from Devices in the Internet of Things" (2018). Theses and Dissertations. 692.
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