Term:
2018-2019 Fall
Faculty Department of Project Supervisor:
Faculty of Engineering and Natural Sciences
Number of Students:
1
In this project, outbound HTTP request and header data, to be generated by servers and individual computers, will be analyzed via machine learning algorithms in real-time in order to detect malicious activities in enterprise networks.
Related Areas of Project:
Computer Science and Engineering
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