Abstract. The increasing availability of automated data collection tools, database technologies and Information and Communication Technologies in biomedicine and health care have l...
Stefano Bonacina, Marco Masseroli, Francesco Pinci...
In this paper an intrusion detection algorithm based on GP ensembles is proposed. The algorithm runs on a distributed hybrid multiisland model-based environment to monitor security...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
Most current network intrusion detection systems employ signature-based methods or data mining-based methods which rely on labelled training data. This training data is typically ...
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...
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Gaussian Mixture Models (GMM). We build our models on Principal ...
Faisal I. Bashir, Ashfaq A. Khokhar, Dan Schonfeld