Application of Machine Training to Search Vulnerabilities in the Software Code-Reference-Cited by-同舟云学术

Application of Machine Training to Search Vulnerabilities in the Software Code

Published:2019-12-31 Issue:4 Volume:7 Page:59-65
ISSN:2307-1303
Container-title:Telecom IT
language:ru
Short-container-title:

Author:

Buinevich M.,Zhukovskaya P.,Izrailov K.,Pokussov V.

Abstract

The article considers the possibility of using artificial intelligence in the field of information security. For this, the following domain contradiction was highlighted: sharpening of detection algorithms for specific vulnerabilities in VS code, constant modification of the vulnerability code. To resolve the contradiction, an object is considered – software with vulnerabilities in the process of its development, for the subject – ways of intellectual analysis of its characteristics. A hypothetical solution is proposed through the use of Machine Learning Technology to identify vulnerabilities in software, using a huge amount of accumulated knowledge. Also, possible signs of software representations used for the operation of the Technology are given.

Publisher

Bonch-Bruevich State University of Telecommunications

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