Bitdefender Ipr Management Ltd.

Stefan Smeu

A diverse collection of data samples harvested for computer security applications is divided into a plurality of training corpora according to criteria such as an identity of the data source, among others. An initial set of features for characterizing the collected data samples is reduced to an optimal subset. For each candidate feature, a frequency distribution of feature values is determined over each of the training corpora. A feature selection procedure favors features whose frequency distribution is relatively similar across multiple corpora. A detector module is then trained to detect computer security threats according to the reduced set of features.

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Bacau, Romania

Stefan Smeu