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Метод автоматического определения уязвимостей в Ñ‚ÐµÐºÑÑ‚Ð¾Ð²Ñ‹Ñ Ð´Ð°Ð½Ð½Ñ‹Ñ Ð½Ð° основе Word2Vec

бакалаврская работа
descriptionPublicationkeyboard_double_arrow_right Other literature type 01 Jan 2017 Russian Publisher:Санкт-Петербургский политехнический университет Петра Великого

doi: 10.18720/spbpu/2/v17-3722

Метод автоматического определения уязвимостей в Ñ‚ÐµÐºÑÑ‚Ð¾Ð²Ñ‹Ñ Ð´Ð°Ð½Ð½Ñ‹Ñ Ð½Ð° основе Word2Vec

Abstract

Данная работа на соискание степени бакалавра посвящена исследованию области автоматического определения уязвимостей в Ñ‚ÐµÐºÑÑ‚Ð¾Ð²Ñ‹Ñ Ð´Ð°Ð½Ð½Ñ‹Ñ . Ð’ работе дан обзор систем автоматического определения уязвимостей. Был предложен метод определения семантического соответствия текста его заголовку. Метод был реализован на языке Java. Реализованный метод был аппробирован на Ð´ÐµÐ¼Ð¾Ð½ÑÑ‚Ñ€Ð°Ñ†Ð¸Ð¾Ð½Ð½Ñ‹Ñ Ð¿Ñ€Ð¸Ð¼ÐµÑ€Ð°Ñ . Предоставлены результаты тестирования.

Keywords

семантическое соответствие текста, автоматическое определение уязвимостей, векторное представление слов

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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!
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