Security, civil liberties experts question data mining
The U.S. Congress should limit government data mining efforts because some techniques don't work and many raise serious privacy concerns, two experts said Monday.
No credible study has found predictive data mining, which involves combing data for trends to help identify possible terrorists or criminals, to work, said Timothy Sparapani, legislative counsel at the American Civil Liberties Union (ACLU). And subject-based data mining -- using government-held data to investigate known criminals or crimes that have been committed -- can lead government investigators on wild goose chases, he said during a government privacy roundtable hosted by the U.S. House of Representatives Homeland Security Committee.
Even though subject-based data mining, sometimes called link analysis, can help government investigators track down associates of known terrorists, it can also lead them to monitor huge numbers of innocent people as people grow increasingly interconnected, Sparapani said.
"If in fact we are all separated by only a few degrees of linkage, then as we move out from an individual who's under review ... pretty soon all of us become suspects," Sparapani said. "We find ourselves in a position where everyone is under the guise of suspicion; everyone is being investigated by the government."
That scenario is bad for privacy but it's also "awfully bad for national security, because you devote such an enormous amount of resources looking at leads that can't possibly lead back to someone who can actually be arrested or prosecuted," he added.
Kate Martin, director of the Center for National Security Studies, suggested that government officials would contend that link analysis is an important tool for tracking terrorists. Government investigators should check out the phone numbers contained on a laptop recovered from a terrorist, she said.
"Can't you imagine a scenario where that type of link analysis would be extremely useful?" she said.
However, Martin also asked if the U.S. government was looking at whether data-mining and other technology-based investigative approaches actually work before deploying them.
In some cases, the government hasn't looked at effectiveness and whether tech programs are focused to avoid privacy problems, said Nuala O'Connor Kelly, senior counsel for information governance and privacy at General Electric and former chief privacy officer at the U.S. Department of Homeland Security.
"We found in our experience ... at the Department of Homeland Security that we were the only people asking that question," O'Connor Kelly said. "Does the thing do what it's supposed to do?"
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Predictive Data Mining
While this sounds like George Orwell's 1984 novel, it describes the predictive power behind currently available modern data mining technology. While data mining conducted at this magnitude is limited to certain government agencies, the price of this technology has dropped substantially due to new mathematical discoveries, lower technology costs and improved processing power. As reported by The Marketing Analysts, Preditive Data Miningis quickly being adopted by progressive marketing companies.
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