MACHINE LEARNING FORENSICS:A NEW BRANCH OF DIGITAL FORENSICS

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Parag H Rughani
Prerak Bhatt

Abstract

The objective of this research is to understand how machine learning can be used in digital crime and its forensic importance, setting up an environment to train artificial neural networks and investigate as well as analyze them to find artefacts that can be helpful in forensic investigation.

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References

https://venturebeat.com/2017/05/18/ai-weekly-google-shifts-from-mobile-first-to-ai-first-world/

https://techcrunch.com/2017/05/17/the-tensorflow-research-cloud-program-gives-the-latest-cloud-tpus-to-scientists/

https://techcrunch.com/2016/08/05/carnegie-mellons-mayhem-ai-takes-home-2-million-from-darpas-cyber-grand-challenge/

http://www.zdnet.com/article/how-ai-powered-cyberattacks-will-make-fighting-hackers-even-harder/

https://github.com/Conchylicultor/DeepQA

http://www.cs.cornell.edu/~cristian/Cornell_Movie-Dialogs_Corpus.html

https://en.wikipedia.org/wiki/Word_embedding

https://github.com/504ensicsLabs/LiME

https://rufus.akeo.ie/

https://apps.ubuntu.com/cat/applications/precise/gnome-disk-utility/

https://www.guidancesoftware.com/encase-forensic