Workload Modeling for Security and Privacy in Databases

Workload Modeling for Security and Privacy in Databases

Explore workload modeling techniques for enhancing security and privacy in databases through this 22-minute lecture by Gokhan Kul from UMass Dartmouth. Delve into traditional workload modeling approaches, performance metrics, and the concept of Pocket Data. Examine behavioral patterns and database trends, with a focus on insider threats and query monitoring. Learn about regularizing queries, detecting activity changes, and data collection methods. Gain insights from the presented results and engage with the Q&A session to deepen your understanding of this critical aspect of database management and cybersecurity.