[Video] Machine Learning and Big Data in Cyber Security

Source: Machine Learning and Big Data in Cyber Security Eyal Kolman Technion lecture
Speaker: by yal Kolman of RSA given at Technion-Israel Institute of Technoloy, Technion Computer Engineering summer school 2014

Summary:

• This video discusses about the challenging in applying machine learning to detect attacks. 
• It also introduces 3 case studies of how to use machine learning in the domain of security.

Challenges

• High cost of errors
• If the detection generates a lot of wrong alerts, then the detection is not useful.
• Data is not public
• Most of the security data are private
• Semantic gam
• Detection is not enough
• Evaluation difficulty
• There are few labels
• There are few attacks

Case Studies

• Detect inpersonation 
• based on users behavior
• locations
• Detect fraud in bank account
• Detect malicious domain
• Events with cookies
• Referral