A research project led by SAIC Inc. is working on a program for the Defense Advanced Research Projects Agency that can detect suspicious online behavior before an insider creates chaos, according to a report from Defense Systems.
The Anomaly Detection at Multiple Scales program seeks to create, adapt and apply software that can track a person’s online activity at work. E-mails, instant messaging and browsing history are all fair game under the ADAMS program.
ADAMS seeks to figure out how trusted individuals become motivated to attack, as well as to detect and highlight suspicious behavior before an attack occurs.
“Our system tries to find these individuals who have gone down that slippery slope, but before they’ve done any crime or anything illegal,” said the project’s co-principal investigator David Bader, according to Defense Systems. Bader is a professor at the Georgia Tech School of Computational Science and Engineering and the Georgia Tech Research Institute.
The ADAMS program was launched in the summer and a framework was demonstrated in October, according to Bader.