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Predicting and Detecting Data Exfiltration using Machine Learning
Bell’s Cyber Threat Intelligence (CTI) team is collaborating with academic institutions in order to further research and develop cyber security analytics for the protection of critical infrastructure and data. The focus of this research is to create and leverage Machine learning for Data Exfiltration on Big Data specifically for network security purposes. This research to design distributed algorithms fast enough for analyzing massive high-dimensional data generated by on web application and firewall logs to detect cyber threats/ attacks and anomaly in the network.
Faculty Supervisor:
Diana Inkpen
Student:
Partner:
BCE Inc
Discipline:
Computer science
Sector:
Information and cultural industries
University:
University of Ottawa
Program:
Accelerate
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