Computational Forensics: Opportunities And Challenges

Katrin Franke discusses her research at DFRWS EU 2018.

Katrin: What I’d like to share with you is computational forensics – this is the field I’m working on officially, with the title for more than 10 years, unofficially the term was just not born I think more than 20 years. Using machine learning, pattern recognition, computational intelligence to advance forensic sciences; first, physical evidence, documents, handwriting, banknotes, passports, now the last ten years, digital evidence.

Alternative title, ‘Artificial Intelligence in Digital Forensics: What is behind the buzz?’ And I’m saying this a little bit provocative, because currently, there are so many talks about artificial intelligence out there that I am getting sometimes really on what is promised and what expectations are raised. In my presentation, I would like to take the chance to give you a little bit more deeper insight. So, I assumed that 50% working already with this, but I also assumed that the other 50% are a little bit scared on what is coming next.

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