Real Time Threat Hunting with Using HTTP Header Information in Enterprise Networks

2018-2019 Fall
Faculty Department of Project Supervisor: 
Faculty of Engineering and Natural Sciences
Number of Students: 

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