Novosibirsk State University Journal of Information Technologies
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All Issues >> Contents: Volume 11, Issue No 3 (2013)

Matching methods in computer security knowledge learned from multiple documents
Gulnara Erkinovna Yakhyyayeva, Olga Vladimirovna Yasinskaya

Novosibirsk State University

UDC code: 004.4

Abstract
This paper considers the problem of matching the knowledge of computer security learned from different texts in natural language. A description of the problem with the model-theoretic formalism is presented. Knowledge of the particular computer attack is formalized as underdetermined algebraic system (named generalized precedent). The knowledge base is a set of generalized precedents. The matched value of the truth of a sentence is calculated as an interval defined on [0, 1]. The paper presents the algorithms for calculating the matched value of the truth, the software implementation of the developed methods is described.

Key Words
generalized precedent, generalized fuzzy model, precedent model, cyber-attack precedent, cyber-attack, information security

How to cite:
Yakhyyayeva G. E., Yasinskaya O. V. Matching methods in computer security knowledge learned from multiple documents // Vestnik NSU Series: Information Technologies. - 2013. - Volume 11, Issue No 3. - P. 63-73. - ISSN 1818-7900. (in Russian).

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Publication information
Main title Vestnik NSU Series: Information Technologies, Volume 11, Issue No 3 (2013).
Parallel title: Novosibirsk State University Journal of Information Technologies Volume 11, Issue No 3 (2013).

Key title: Vestnik Novosibirskogo gosudarstvennogo universiteta. Seriâ: Informacionnye tehnologii
Abbreviated key title: Vestn. Novosib. Gos. Univ., Ser.: Inf. Tehnol.
Variant title: Vestnik NGU. Seriâ: Informacionnye tehnologii

Year of Publication: 2013
ISSN: 1818-7900 (Print), ISSN 2410-0420 (Online)
Publisher: Novosibirsk State University Press
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