STRonG: System Topology Risk Analysis on Graphs
Lars Schneidenbach, Sandhya Koteshwara, et al.
CCGrid 2024
The article describes a practical method for detecting outlier database connections in real-time. Outlier connections are detected with a specified level of confidence. The method is based on generalized security rules and a simple but effective real-time machine learning mechanism. The described method is non-intrusive to the database and does not depend on the type of database. The method is used to proactively control access even before database connection is established, minimize false positives, and maintain the required response speed to detected database connection outliers. The capabilities of the system are demonstrated with several examples of outliers in real-world scenarios.
Lars Schneidenbach, Sandhya Koteshwara, et al.
CCGrid 2024
Daniel Gibert, Giulio Zizzo, et al.
CCS 2023
Zhiyuan He, Yijun Yang, et al.
ICML 2024
Yuya Jeremy Ong, Jay Pankaj Gala, et al.
IEEE CISOSE 2024