A $10 million grant from the U.S. National Science Foundation will enable University of California, Berkeley researchers to spend the next five years exploring how to contest hackers on social networking sites.
The security project at Berkeley's International Computer Science Institute (ICSI) will try to anticipate and block social-networking attacks, such as emerging efforts to accumulate and sell large numbers of Twitter followers. Researchers believe the spam-email economy may decline, and social networking will likely become the platform for those involved.
ICSI also has several other projects in the works, which range from devising new algorithms for voice recognition and video search to writing open source code for networking gear. Nelson Morgan, a researcher working on new approaches to voice recognition, says there are fundamental flaws as people currently use products such as Apple's Siri. "You have to make certain mathematical assumptions that people know are wrong, but you cover that up by using huge amounts of statistical data and limiting the domain," Morgan says. Researchers are trying to find new approaches based on recorded signals of brain patterns and using multicore processors' parallel computing capabilities.
From EE Times
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