Detecting system faults in hardware and software systems using intelligent solutions
https://doi.org/10.21683/1729-2646-2025-25-4-61-68
Abstract
The paper presents a system for detecting faults in distributed software and hardware systems that is based on a set of intelligent technologies. The method combines dynamic testing (fuzzing) enhanced with large language models, as well as analysis of vulnerability patterns of the well-known MITRE and OWASP knowledge bases to identify software errors that enable potential attacks. The proposed architecture promptly diagnoses failures and faults, localizes their causes and automatically escalates the incident to the system administrator. The practical significance of the solution is confirmed experimentally in terms of such parameters as the average error detection time, code coverage, and the number of detected defects.
About the Authors
I. A. Pankov
Omsk State Technical University
Russian Federation
Russian Federation
Ilia A. Pankov, postgraduate student
Omsk
A. P. Averchenko
Omsk State Technical University
Russian Federation
Russian Federation
Artem P. Averchenko, postgraduate student, OmSTU, head of the Digital Signal Processing using FPGA SDB
Omsk
D. A. Pankov
LANIT-TERKOM LLC
Russian Federation
Russian Federation
Denis A. Pankov, Project Manager and System Analyst, Member of the Program Committee for Information Technology Standardisation, Candidate of Engineering
Saint Petersburg
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Review
For citations:
Pankov I.A., Averchenko A.P., Pankov D.A. Detecting system faults in hardware and software systems using intelligent solutions. Dependability. 2025;25(4):61-68. (In Russ.) https://doi.org/10.21683/1729-2646-2025-25-4-61-68
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ISSN 1729-2646 (Print)
ISSN 2500-3909 (Online)
ISSN 2500-3909 (Online)
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