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MATHEMATICAL SOFTWARE FOR DETECTING CONFIDENTIAL DATA IN ELECTRONIC DOCUMENTS

By Ptitsin A. A.

Abstract

In the article, we develop the software for process of confidential data detection based on the knowledge bases technology. The algorithm of detection of confidential data in the electronic documents transferred outbound of protected information system, due to application of linguistic technologies of the thorough text analysis is presented. The estimation of computing complexity of the developed algorithm is made up. The developed data structures and algorithm are realized in the programming language C++. Results of the experiments, confirmed workability of the developed algorithm are presented. The performed experimental researches of the developed algorithm have shown its practical applicability. The estimation of quality of confidential data detection is made up. The obtained estimations of detection quality have shown, that the developed structures of data and algorithm provide more effective and qualitative solution of problems of the confidential information detection in electronic documents, at due to application of knowledge bases technology where the subject domain of the analyzed information is considered. Distinctive feature of the developed algorithm of confidential data detection is the use of rapid access to hashed concept ontographs simultaneous implementation of knowledge base rules, which allows raising indicators of completeness and accuracy of detection. A scope of application of the developed software is the protection frames of the information intended for revealing of an information transfer containing data of confidential character in electronic documents outbound of protected information system with violation of security polic

Topics: SOFTWARE, CONFIDENTIAL DATA, DLP, DATA LEAK PREVENTION, ELECTRONIC DOCUMENT, General Works, A
Publisher: Kuban State Agrarian University
Year: 2016
OAI identifier: oai:doaj.org/article:7050232a799247a083f79f9357512207
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  • https://doaj.org/toc/1990-4665 (external link)
  • http://ej.kubagro.ru/2016/04/p... (external link)
  • https://doaj.org/article/70502... (external link)
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