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pro vyhledávání: '"Marius Barat"'
Publikováno v:
Journal of Computer Virology and Hacking Techniques. 9:171-178
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).
Publikováno v:
SYNASC
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 label
Publikováno v:
SYNASC
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