Abstract
Abstract Digital forensics is a process of collection, identification, extraction, and documentation of electronic evidence which is used in a court of law. There are a large number of tools that help us to make this process easy and simple. In this paper, four tools have been chosen to explore and study. The best digital forensic tools have been chosen according to different parameters in each type of digital forensics. The (Stellar) basis tool and (Forensic Tool Kit) have been explored for computer forensic tools while (Network Map) has been chosen for network forensic tools and (OSFmount) has been studied as a live forensic tool. This paper also covers other types of forensic tools like Database forensic tools, O.S. forensic tools, and Mail forensic tools. The role of Artificial intelligence in Digital Forensic tools has been discussed in this paper by using both Decision Stump and Bayes net machine learning techniques. After making an investigation of the IoT device traffic dataset using these two techniques, Decision Stump gives us less accurate results compared with Bayes net.
