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8 December 2022 BugAnaBench: benchmark for software vulnerability analysis and its construction method
Zhiyuan Jiang, Ruilin Li, Chaojing Tang
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Proceedings Volume 12474, Second International Symposium on Computer Technology and Information Science (ISCTIS 2022); 1247407 (2022) https://doi.org/10.1117/12.2653414
Event: Second International Symposium on Computer Technology and Information Science (ISCTIS 2022), 2022, Guilin, China
Abstract
Software vulnerabilities are an important resource for cyberspace security. The rapid development of automated bug finding methods represented by fuzzing enables vulnerabilities to be found quickly, but the precise analysis of vulnerabilities mainly relies on manual labor. To improve the efficiency of vulnerability analysis, many automated vulnerability analysis tools have emerged in recent years, and how to evaluate these analysis engines has become a new challenge. This paper designs and implements a set of anomaly sample datasets for vulnerability analysis and introduces the construction method of the datasets. The data set has the characteristics of complete variety, strong applicability, and high degree of expansion, and is expected to support the ability verification of vulnerability analysis tools.
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Zhiyuan Jiang, Ruilin Li, and Chaojing Tang "BugAnaBench: benchmark for software vulnerability analysis and its construction method", Proc. SPIE 12474, Second International Symposium on Computer Technology and Information Science (ISCTIS 2022), 1247407 (8 December 2022); https://doi.org/10.1117/12.2653414
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KEYWORDS
Data acquisition
Analytical research
Data modeling
Databases
Statistical analysis
Mining
Data storage
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