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Cyber Situation and Threat Assessment (Cyber SITA)

Cryptography and intrusion detections along are nor sufficient to protect critical infrastructure and our private information, due to diverse and fast-changing technologies, heterogeneous implementations, human errors, and lack of evidence to support prosecution of cyber crimes and wars. This leads to a need to process cyber observables and provide an efficient perception, comprehensive and anticipation capabilities to characterize cyber attack behaviors. Particularly, this project aims at developing mathematical models to analyze and predict complex, stealthy cyber attack behavior and relationships from drowning data that are uncertain, noisy and potentially misleading. This set of works has been partially supported by Air Force Research Laboratory and DARPA, and led by Prof. S. Jay Yang from the Networking and Information Processing (NetIP) Laboratory as part of the RESIST group at RIT.

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