Research of Dynamic Fuzzing Methods to Identify Vulnerabilities in Program Code

The presented article presents a study of dynamic fuzzing methods for detecting vulnerabilities in program code. At the beginning of the article the classification of program code from the point of view of fuzzing is considered, the principles by which the code can be attributed to one or another gr...

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Главные авторы:	Lapina, M. A., Лапина, М. А., Aganesov, A., Аганезов, А., Lapin, V. G., Лапин, В. Г.
Формат:	Статья
Язык:	English
Опубликовано:	Springer Science and Business Media Deutschland GmbH 2024
Темы:	Classification of code Software code vulnerabilities Dynamic fuzzing Information security Testing
Online-ссылка:	https://dspace.ncfu.ru/handle/123456789/29256
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spelling	ir-123456789-292562024-11-27T13:57:31Z Research of Dynamic Fuzzing Methods to Identify Vulnerabilities in Program Code Lapina, M. A. Лапина, М. А. Aganesov, A. Аганезов, А. Lapin, V. G. Лапин, В. Г. Classification of code Software code vulnerabilities Dynamic fuzzing Information security Testing The presented article presents a study of dynamic fuzzing methods for detecting vulnerabilities in program code. At the beginning of the article the classification of program code from the point of view of fuzzing is considered, the principles by which the code can be attributed to one or another group are described, which contributes to more effective vulnerability detection. Then the article discusses the application of fuzzing. The object of fuzzing is the kernel of the Linux operating system. Syzkaller fuzzing software environment is used as the main tool. According to the results of kernel analysis the errors obtained are described and classified by criticality. Application of dynamic fuzzing methods helps to increase vulnerability resistance of both critical components and the whole system. 2024-11-27T13:54:55Z 2024-11-27T13:54:55Z 2024 Статья Lapina M., Aganesov A., Lapin V., Athavale V.A. Research of Dynamic Fuzzing Methods to Identify Vulnerabilities in Program Code // Lecture Notes in Networks and Systems. - 2024. - 863 LNNS. - pp. 172 - 184. - DOI: 10.1007/978-3-031-72171-7_18 https://dspace.ncfu.ru/handle/123456789/29256 en Lecture Notes in Networks and Systems application/pdf Springer Science and Business Media Deutschland GmbH
institution	СКФУ
collection	Репозиторий
language	English
topic	Classification of code Software code vulnerabilities Dynamic fuzzing Information security Testing
spellingShingle	Classification of code Software code vulnerabilities Dynamic fuzzing Information security Testing Lapina, M. A. Лапина, М. А. Aganesov, A. Аганезов, А. Lapin, V. G. Лапин, В. Г. Research of Dynamic Fuzzing Methods to Identify Vulnerabilities in Program Code
description	The presented article presents a study of dynamic fuzzing methods for detecting vulnerabilities in program code. At the beginning of the article the classification of program code from the point of view of fuzzing is considered, the principles by which the code can be attributed to one or another group are described, which contributes to more effective vulnerability detection. Then the article discusses the application of fuzzing. The object of fuzzing is the kernel of the Linux operating system. Syzkaller fuzzing software environment is used as the main tool. According to the results of kernel analysis the errors obtained are described and classified by criticality. Application of dynamic fuzzing methods helps to increase vulnerability resistance of both critical components and the whole system.
format	Статья
author	Lapina, M. A. Лапина, М. А. Aganesov, A. Аганезов, А. Lapin, V. G. Лапин, В. Г.
author_facet	Lapina, M. A. Лапина, М. А. Aganesov, A. Аганезов, А. Lapin, V. G. Лапин, В. Г.
author_sort	Lapina, M. A.
title	Research of Dynamic Fuzzing Methods to Identify Vulnerabilities in Program Code
title_short	Research of Dynamic Fuzzing Methods to Identify Vulnerabilities in Program Code
title_full	Research of Dynamic Fuzzing Methods to Identify Vulnerabilities in Program Code
title_fullStr	Research of Dynamic Fuzzing Methods to Identify Vulnerabilities in Program Code
title_full_unstemmed	Research of Dynamic Fuzzing Methods to Identify Vulnerabilities in Program Code
title_sort	research of dynamic fuzzing methods to identify vulnerabilities in program code
publisher	Springer Science and Business Media Deutschland GmbH
publishDate	2024
url	https://dspace.ncfu.ru/handle/123456789/29256
work_keys_str_mv	AT lapinama researchofdynamicfuzzingmethodstoidentifyvulnerabilitiesinprogramcode AT lapinama researchofdynamicfuzzingmethodstoidentifyvulnerabilitiesinprogramcode AT aganesova researchofdynamicfuzzingmethodstoidentifyvulnerabilitiesinprogramcode AT aganezova researchofdynamicfuzzingmethodstoidentifyvulnerabilitiesinprogramcode AT lapinvg researchofdynamicfuzzingmethodstoidentifyvulnerabilitiesinprogramcode AT lapinvg researchofdynamicfuzzingmethodstoidentifyvulnerabilitiesinprogramcode
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Research of Dynamic Fuzzing Methods to Identify Vulnerabilities in Program Code

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