In the weeks after the September 11 terror attacks, reports surfaced that terrorists might have communicated with each other through messages embedded in images posted on the Web. So far, no such hidden communications have been confirmed publicly, but intelligence agencies are certainly keen on finding them if they exist. To aid in the search, a computer scientist at the State University of New York at Binghamton has developed a way to screen digital images for evidence of hidden content.
Binghamton’s Jessica Fridrich says her algorithms examine the numbers that encode color in pixels, the colored or gray dots that make up an image. When an image conceals information-say, a 15-page text file-the numbers that encode its pixel colors are changed slightly. While the human eye can’t see the resulting color changes, Fridrich’s algorithms can detect statistical anomalies in the underlying numbers. In most kinds of image files, Fridrich’s tool can detect the signatures of a number of concealment-or “steganography”-programs, all widely shared in the hacker subculture. Cryptographers must then decode any images that have been altered.
Fridrich delivered the first version of the software to her U.S. Air Force sponsors last year. “What they do with it, I’m not allowed to know. We can only assume the government is somehow using it,” she says.
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