Mohammed Taha Elgraini

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Recently, several solutions have been proposed to address the complex challenge of protecting individuals' genetic data during personalized medicine tests. In this short paper, we analyze different privacy threats and propose simple countermeasures for the generic architecture mainly used in the literature. In particular, we present and evaluate a new(More)
In this paper, we present SC2, an unsupervised learning classifier for detecting host intrusions from sequences of process system calls. SC2 is a naïve Bayes-like classifier based on Markov Model. We describe the classifier, and then provide experimental results on the University of New Mexico's four system call trace data sets, namely Synthetic(More)
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