Abstract
Thesis (M.S.) - Florida Institute of Technology, 2018
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.