Detecting Targeted Attacks with Machine Learning: Overview and Real-World Examples

When: Tuesday, June 4, 2019
Where: PGH 550
Time: 11:00 AM

Speaker: Yinnon Meshi, Palo Alto Networks

Host: Dr. Rakesh Verma

We will present some real world applications of machine learning in the field of cyber security. We will start with a high level overview of cyber-attacks conducted by advanced attackers (namely APT). Then we'll talk about the difficulties of common ML approaches (such as anomaly detection) in this case, and what is our approach to these problems. Lastly, we'll show a real-world example ofone of our research projects, using co-training and concept decomposition.

No prior knowledge in cybersecurity is required, though it will be helpful. Further reading on our whitepaper: "Machine Learning in Cyber-Security-Problems, Challenges and Data Sets".

Bio:

Yinnon Meshi is a Senior Data Scientist at Palo Alto Networks cyber analytics research team. Prior to that, Yinnon served as an officer at IDF's cyber security unit for several years. Yinnon holds a B.Sc. (Summa cum Laude) and a M.Sc. in Electrical Engineering from the Technion.