Abstract
In the era of the Internet of Things (IoT), the number of IoT devices that can gather and monitor data is increasing continuously. However, this growth presents difficulties for digital investigators when IoT devices are employed in crime scenes. In this study, we first present an IoT forensics taxonomy and focus on its challenges and limitations. Then, we discuss the differences between traditional digital forensics and IoT forensics. Next, we review two proposed models for IoT forensic investigation. Despite the increasing convenience of IoT for humans, it raises serious protection and privacy concerns. It also poses major challenges for investigators when they discover crime scenes in IoT apps. Based on the two proposed models discussed in this study, we conclude that every model in the field of IoT forensic investigation works in a different way and has some gaps. In addition, no specific standards and methods exist for IoT forensic investigation.