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IEAAIE
2010
Springer
13 years 3 months ago
A Study of Detecting Computer Viruses in Real-Infected Files in the n-Gram Representation with Machine Learning Methods
Abstract. Machine learning methods were successfully applied in recent years for detecting new and unseen computer viruses. The viruses were, however, detected in small virus loade...
Thomas Stibor
CORR
2011
Springer
184views Education» more  CORR 2011»
13 years 5 days ago
Metamorphic Virus Variants Classification Using Opcode Frequency Histogram
Abstract- In order to prevent detection and evade signature-based scanning methods, which are normally exploited by antivirus softwares, metamorphic viruses use several various obf...
Babak Bashari Rad, Maslin Masrom
CSDA
2008
147views more  CSDA 2008»
13 years 5 months ago
Detection of unknown computer worms based on behavioral classification of the host
Machine learning techniques are widely used in many fields. One of the applications of machine learning in the field of the information security is classification of a computer be...
Robert Moskovitch, Yuval Elovici, Lior Rokach
BMCBI
2010
216views more  BMCBI 2010»
13 years 9 days ago
Bayesian Inference of the Number of Factors in Gene-Expression Analysis: Application to Human Virus Challenge Studies
Background: Nonparametric Bayesian techniques have been developed recently to extend the sophistication of factor models, allowing one to infer the number of appropriate factors f...
Bo Chen, Minhua Chen, John William Paisley, Aimee ...