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Learning to Attack the Cyberattackers Can't Happen Fast Enough


CMU Professor Marios Savvides

Professor Marios Savvides and his group used facial-recognition technology to construct an image for the FBI of the 2015 Boston Marathon bomber.

Credit: The New York Times

Carnegie Mellon University's CyLab Security and Privacy Institute aims to expand the boundaries of technology and protect people when that technology or its users pose a threat.

CyLab conducts research and education in Internet privacy and security, in partnership with both private companies and government agencies. CyLab's mission dovetails with a perceived shortage of people with the expertise to counter increasingly sophisticated cyberattackers; its fields of concentration include biometrics, artificial intelligence (AI), cryptography, and network security. One CyLab innovation applied AI to reconstruct an image of the suspected Boston Marathon bomber from blurry, low-resolution surveillance footage, which was an accurate match for the man ultimately convicted of the crime.

Meanwhile, long-distance iris scanning technology from CyLab can identify people up to 40 feet away. CyLab also is exploring software programs or "bots" that manipulate individuals with disinformation, with one project developing AI to automatically fact-check and hunt down bots.

From The New York Times
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Abstracts Copyright © 2018 Information Inc., Bethesda, Maryland, USA


 

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