The Use of Machine Learning in Digital Forensics: Review Paper
Yusra Al Balushi, Hothefa Shaker, Basant Kumar · 2023
With the increase of cybercrimes in the current years, digital forensics has become an important matter to study in order achieve quality evidence.Forensic investigators face difficulties with data collection and analysis to reconstruct events.Due to humans' immense interaction on a daily basis, machine learning allows investigators to perform more effective and efficient investigations using various algorithms.Machine learning is a subset of the artificial intelligence field.It is a scientific discipline focusing on developing computer models and algorithms that can perform specific tasks without programming, such as dataset training and testing, and it's potential to aid in investigations.This paper reviews various machine learning techniques that examine and analyze digital evidence during the investigation process.Each machine learning algorithm works on a specific area of digital forensics based on the features, it overcomes complexity, data volume, time-lining, correlation, consistency, etc. moreover, this study compares machine learning algorithms in terms of standard criteria.