A group of ten researchers from Arizona State University created a system that automatically scans and detects hacking-related products added to Dark and Deep Web marketplaces and hacking forums.
The researchers analyzed data from 27 marketplaces and 21 hacking forums, accessed via Tor (Dark Web) or via hidden websites on the open Internet (also called the Deep Web).
They created a system that automatically scrapes and watches these sites and uses 25 percent human input to train a machine-learning algorithm to classify collected data.
Original Source: Softpedia
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