Data Science and AI while Left of Boom: Sniffing Out Cyber Attacks
In the increasingly adversarial setting of cyberspace, cyber defenders need to be active when protecting their cyber assets. Actively hunting for adversaries is one way of preventing attacks. Our question is whether it is possible to figure out what an adversary may be planning in terms of attacking and what kill-chain events may already have occurred? Our approach will draw upon AI and machine learning. There are currently public resources describing cyber tactics, techniques, and procedures. We offer the opportunity to work with a team that is using data science techniques and machine learning to exploit this public threat data to anticipate and hunt for ongoing cyber attacks.
Contact email@example.com to apply.
In the body of your email please include: project of interest by name, relevant courses and grades, relevant experience, expected year of graduation. Attach your resume/CV
Rising Junior or Senior
Project PI: Una-May O’Reilly
Contact email: Alfafirstname.lastname@example.org
Security & Cryptography