In many reliability studies based on data, reliability engineers face incompleteness and incoherency problems in the data. Probabilistic tools badly handle these kinds of problems...
We present the Vida family of abstractions of anonymous communication systems, model them probabilistically and apply Bayesian inference to extract patterns of communications and u...
Malware defenses have primarily relied upon intrusion fingerprints to detect suspicious network behavior. While effective for discovering computers that are already compromised,...
Security and reliability issues in distributed systems have been investigated for several years at LAAS using a technique called Fragmentation-Redundancy-Scattering (FRS). The aim ...
In this paper, a modeling and simulation framework is proposed for generating data for training and testing intrusion detection systems. The framework can develop models of web us...