Human-centric Artificial Intelligence enabled Digital Images and Videos Forensic Triage

Shancang Li, Yifan Liu

Abstract: Digital forensics and incident response (DFIR) involve huge volume of data collected from digital systems that requires investigators to quickly sift through and prioritise relevant evidence. The forensics investigator team faces many challenges when analysing the processes to keep them on target and improve them. A lack of a systematic approach to data analysis can lead to slower decision-making. This work aims to enhance the effectiveness and efficiency in forensics analysis using human-centric artificial intelligence (HAI) enabled data triage. Specifically, an image and video triage was proposed that can significantly speed up the investigation and identify highly related evidence items from huge volume of images and videos.