Jeff LeJeune and Bazyli Debowski, Magnet Forensics
Putting Machine Learning to Work for Digital Forensics
Digital devices and connectivity are creating a data tsunami for investigators in the law enforcement and corporate communities. Not only has the popularity of chat and email applications resulted in a massive spike of text-based conversations; but an increasing number of devices (smartphones, digital cameras, other IoT devices, etc.) also facilitate the easy capture of photos and videos. As a result, the number of pictures and messages that may appear in a case has grown exponentially, making it difficult for forensic examiners, investigators and analysts to keep up. The manual analysis of the evidence for context and relevance, combined with report building, can add significant time to an investigation. Magnet.AI allows an examiner or investigator to better prioritize their time in an investigation, and find potentially relevant evidence faster than they could through manual review.
In this talk we’ll introduce Magnet Forensics, a Waterloo-based software company, and how we’re helping to tackle this problem. As well, we’ll discuss how we’ve applied machine learning techniques to assist in the analysis.
Further details are at https://researchcentres.wlu.ca/ms2discovery-interdisciplinary-research-institute/events.html.