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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/5006
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dc.contributor.authorAlavi, S. E.
dc.date.accessioned2015-11-09T12:03:02Z
dc.date.accessioned2017-07-19T08:57:52Z-
dc.date.available2015-11-09T12:03:02Z
dc.date.available2017-07-19T08:57:52Z-
dc.date.issued2015
dc.identifier.citationEnayatallah А. S. A new approach for anomaly detection in web applications / Alavi Seyed Enayatallah // Информационные технологии и системы 2015 (ИТС 2015): материалы международной научной конференции (БГУИР, Минск, Беларусь, 28 октября 2015). - Information Technologies and Systems 2015 (ITS 2015): Proceeding of the International Conference (BSUIR, Minsk, Belarus, 28th October 2015) / редкол. : Л. Ю. Шилин [и др.]. – Минск: БГУИР, 2015. – С. 98-99ru_RU
dc.identifier.isbn978-985-543-171-9
dc.identifier.urihttp://libeldoc.bsuir.by/handle/123456789/5006
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/5006-
dc.description.abstractIn this paper, we present an approach based on XML files, which can be implemented independently from the application layer, to perform related operations to detect abnormalities in the web applications without the need for initial training. Normal behavior of web applications is automatically and accurately defined in XML files. This approach has been implemented in Medical Sciences Research Automation system (Syat) of Mazandaran, Iran. Results obtained from this evaluation indicate an increase in the accuracy of anomaly detection and reduction of the rate of incorrect detections.ru_RU
dc.language.isoruru_RU
dc.publisherБГУИРru_RU
dc.subjectматериалы конференцийru_RU
dc.subjectanomaly detectionru_RU
dc.subjectweb applicationru_RU
dc.subjectsecurityru_RU
dc.titleA new approach for anomaly detection in web applicationsru_RU
dc.typeArticleru_RU
Appears in Collections:ИТС 2015

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