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- Article name
- Analysis of malware recognition methods
- Authors
- Yeremeyev M. A., , , Federal State Establishment "Mozhaisky Military Aerospace Academy", St.-Petersburg, Russia
Kravchuk A. V., , kvazikrav@yandex.ru, Federal State Establishment "Mozhaisky Military Aerospace Academy", St.-Petersburg, Russia
- Keywords
- malware / recognition / type I and II error probability
- Year
- 2014 Issue 3 Pages 44 - 51
- Code EDN
- Code DOI
- Abstract
- This paper presents comparative analysis of existing malware recognition methods in order to systematize subject field and to discover advantages and disadvantages of these methods. Formalisms allowing to compare methods against each other are introduced.
- Text
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