We have been developing a data mining (i.e., knowledge discovery) framework, MADAM ID, for Mining Audit Data for Automated Models for Intrusion Detection [LSM98, LSM99b, LSM99a]. ...
In this paper we propose a real-time anomaly detection method for detecting TCP SYN-flooding attacks. This method is based on the intensities of SYN segments which are measured on...
After two decades of research on automated discovery, many principles are shaping up as a foundation of discovery science. In this paper we view discovery science as automation of ...
In general-purpose microprocessors, recent trends have pushed towards 64-bit word widths, primarily to accommodate the large addressing needs of some programs. Many integer proble...
We study the memory requirements of self-stabilizing leader election (SSLE) protocols. We are mainly interested in two types of systems: anonymous systems and id-based systems. We...
Joffroy Beauquier, Maria Gradinariu, Colette Johne...