An Overview on Handling Anti Forensic Issues in Android Devices Using Forensic Automator Tool

Abstract

The digital forensic methods and tools have become a very important part for the investigators. During the investigation on Cyber-crimes, collection of the digital evidences during the case is the vital part. Mobile forensics being an important domain in digital forensics which includes acquisition of the data and analysing it to recover the digital evidences in a forensic manner. But there are some of the anti-forensic issues faced during the investigation. The Computer Emergency Response Team (CERT) investigates an incident for creation of a detailed description on how the crime was executed and makes a report on the incident. This paper focuses on how the antiforensic issues can be handled in android mobiles and how the improvements took place in the field of mobile forensics and data acquisition. This paper also aims to introduce how the files are acquired during the investigation, what are the techniques and tools that were used to tamper with the evidence found and how the forensic investigators can identify the data tampered. The solution is proposed for one of the Forensic issue of files that are in encoded format where the encoding of the file is not known, using the SVM Machine Learning technique how it can be achieved.