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Научно-технический вестник информационных технологий, механики и оптики
Article . 2012
Data sources: CyberLeninka - Russian open access scientific library
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Поиск вредоносных программ на основе анализа процесса распространения. Публикуется в порядке дискуссии

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2012 Russian Publisher:Федеральное государственное автономное образовательное учреждение высшего образования «Санкт-Петербургский национальный исследовательский университет информационных технологий, механики и оптики»Journal:Научно-технический вестник информационных технологий, механики и оптики (issn: 2226-1494, Copyright policy )

Поиск вредоносных программ на основе анализа процесса распространения. Публикуется в порядке дискуссии

Abstract

Определены основные проблемы традиционных методов обнаружения вредоносного программного обеспечения, основанных на обновлении антивирусных баз. Рассмотрены альтернативные методы, основанные на облачных вычислениях. Предложен новый метод обнаружения на основе анализа процесса распространения неизвестного программного обеспечения.

The main problems of traditional methods of malicious software detection, based on the virus databases updating are analyzed. Alternative methods based on cloud computing are considered. A new detection method based on the unknown software propagation analysis is proposed.

Keywords

ВРЕДОНОСНЫЕ ПРОГРАММЫ,ПРОЦЕСС РАСПРОСТРАНЕНИЯ,DISTRIBUTION PROCESS,РЕПУТАЦИОННЫЕ СЕРВИСЫ,REPUTATION SERVICES,MALICIOUS SOFTWARE

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold