Marius Barat

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With the exponential growth of malware in the last 5 years, the number of polymorphic malware increased as well. The aim of this paper is to describe the evolution throughout a year of four major malware families (FakeAlert, Sirefef, ZBot and Vundo). The analysis has been made in terms of polymorphic mechanisms with regards to the polymorphic mechanisms(More)
In this paper we propose a noise detection system based on similarities between instances. Having a data set with instances that belongs to multiple classes, a noise instance denotes a wrongly classified record. The similarity between different labeled instances is determined computing distances between them using several metrics among the standard ones. In(More)
In the increasing number of online threats and shape-shifting malware, the use of machine learning techniques has a good impact. To keep the efficiency of these techniques, the training and adaptation schedule must be constant. In this paper we study the behaviour of an automatic updating perceptron, with variable training frequency and using as input(More)
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