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BAE Systems and IARPA to develop methods for predicting cyber attacks


IHS Jane's 360 - 18 October 2016

--- Quote ---Traditionally in a cyber attack, detection happens when an exploit is triggered or some action happens and then an effort is made to stop it, Rebecca Cathey, principal investigator for BAE Systems Cyber-attack Automated Unconventional Sensor Environment (CAUSE) programme, told IHS Jane's .
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U.S Awards Cyber Attack Prediction Program Contract to BAE Systems | securityweek - October 17, 2016

--- Quote ---The U.S. Intelligence Advanced Research Projects Activity (IARPA) has awarded its $11.4 million Cyber-attack Automated Unconventional Sensor Environment (CAUSE) program to BAE Systems.

IARPA's program brief specified: "IARPA expects performers to identify and extract novel leading signals from both internal and external sensors (both conventional and unconventional) and use them to generate warnings - probabilistic forecasts and/or detections of cyber-attacks. Performers will generate warnings for real cyber-attacks against one or more U.S. industry organizations that have agreed to participate in CAUSE."

The purpose is to predict, rather than just detect, cyber threats. Organizations will then be able to prepare for an attack rather than be required to respond to an attack.

The CAUSE program will develop "predictive methods that combine existing advanced intrusion detection capabilities with unconventional publicly available data sources, leveraging sources not usually associated with cybersecurity," BAE announced. "Researchers will seek to identify leading indicators of an attack from vast, noisy external streams of data and then correlate related data from different sources to generate accurate, actionable warnings."
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IARPA To Develop Early-Warning System For Cyberattacks | WSJ

--- Quote ---IARPA said the program, known as Cyberattack Automated Unconventional Sensor Environment, or CAUSE, has been underway since August, and includes four main research partners: BAE Systems Inc., Charles River Analytics, Leidos, and the University of Southern California. Each partner has a novel approach to addressing the challenge and can work with subcontractors, according to Mr. Rahmer.
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