The U.S. intelligence community wants to develop insider threat-monitoring systems and new techniques for predicting cyberattacks. The U.S. Intelligence Advanced Research Projects Agency (IARPA) is preparing solicitations for the Scientific Advances to Continuous Insider Threat Evaluation (SCITE) program and the Cyber-attack Automated Unconventional Sensor Environment (CAUSE) program.
SCITE will investigate methods for detecting insider threats with a new class of indicators and associated automated detection tools, as well as with Inference Enterprise Models (IEM) that forecast the accuracy of detection. SCITE researchers will develop flexible IEM approaches that could be employed to predict the performance of subsets of an enterprise or complete enterprise models.
With CAUSE, the intelligence community wants to detect threats hours to weeks ahead of current methods, according to IARPA program manager Robert Rahmer. "Successful proposers will combine cutting-edge research with the ability to develop robust forecasting capabilities from multiple sensors not typically used in the cyber domain," says an IARPA description of the CAUSE program. The initiative would support technology such as tools to harvest big data and models for threat forecasting; IARPA is scheduled to host a conference next month to provide more details on the research.
From Government Computer News
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