Anomaly Detection for Critical Infrastructure Protection: Second Generation Duration 4 years

Prof. Averbuch Amir 

The primary goal of this proposal is to develop methodologies (theories, algorithms, software and systems) to detect anomalies in an unstructured HDBD, which can be the underlying signs of malware, zero day attacks or operational malfunctions (or both), that can impact critical infrastructure.

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Tel Aviv University, P.O. Box 39040, Tel Aviv 6997801, Israel
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