  The main goal of this research project is to evaluate the effectiveness and
speed of open-source forensic tools for digital evidence collecting from
various Internet-of-Things (IoT) devices. The project will create and configure
many IoT environments, across popular IoT operating systems, and run common
forensics tasks in order to accomplish this goal. To validate these forensic
analysis operations, a variety of open-source forensic tools covering four
standard digital forensics tasks. These tasks will be utilized across each
sample IoT operating system and will have its time spent on record carefully
tracked down and examined, allowing for a thorough evaluation of the
effectiveness and speed for performing forensics on each type of IoT device.
The research also aims to offer recommendations to IoT security experts and
digital forensic practitioners about the most efficient open-source tools for
forensic investigations with IoT devices while maintaining the integrity of
gathered evidence and identifying challenges that exist with these new device
types. The results will be shared widely and well-documented in order to
provide significant contributions to the field of internet-of-things device
makers and digital forensics.
