At the end of a long hallway in a gray and cavernous block at the University of Arizona in Tucson sits a closet-size windowless room secured by complex access codes and sealed with bulletproof glass. The room is chilled to a steady 60 degrees and filled with rack-mounted monitors, blinking red lights, a squat supercomputer, and three "spidering machines" that crawl through the Internet, quietly spooling data from the shadowy digital realm inhabited by terrorists, hackers, and cybercriminals. Welcome to the Dark Web.
These machines store Web data from roughly 1,500 terrorist and extremist organizations, including 500 groups with roots in the Middle East, explains University of Arizona computer scientist Hsinchun Chen, who designed this sleuthing tool. Accessible only to those who pass fingerprinting and extensive background checks, the "Dark Web project" constitutes the largest collection of online terrorist data on the planet and may be key to cracking future ...