Carnegie Mellon University Professors Alessandro Acquisti and Ralph Gross will, at next week's Black Hat Briefings, reveal the findings of their research into "how the convergence of facial recognition technology and data, including images, posted to social networks could lead to the re-identification of individuals and strangers online," reports SearchSecurity.com. The first stage of their research proved that individuals' Social Security numbers could be predicted using publicly-available information. "People may not realize that once they reveal information A or B, a smart third party can infer C, which could be much more sensitive information," Acquisti said, adding, "We're entering a point in the near future in which the puzzle of personal, sensitive information about individuals is almost complete."
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