软件采购法令安全风险的自动识别

R. N. Peclat, G. N. Ramos
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引用次数: 1

摘要

巴西联邦机构必须通过采购获得软件工具,要求他们的软件团队开发、验证和审计他们的规范,以确保软件安全风险问题清楚地包括在法令中。这项工作提出了法令的自动分析工具,通过自动识别语句和软件安全风险或安全弱点概念之间关系的缺失来帮助分析这样的文档。该工具在超过100个文档上进行了测试,并与软件安全专家对OWASP十大风险中的五个进行多标签分类的性能进行了比较。当分析单个句子的多个风险时,特异性为83%,当分析特定风险句子关系时,阴性预测概率为90%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic Identification of Security Risks in Edicts for Software Procurement
Brazilian Federal Institutions must obtain software tools by procurement, requiring that their software teams develop, verify and audit their specifications to ensure that software security risks concerns are clearly included in edicts. This work presents the Automated Analyst of Edicts tool for aiding the analysis of such document by automatically identifying the absence of relationships between its sentences and software security risks or security weaknesses concepts. This tool was tested on over 100 documents and compared to software security experts' performance for multi-label classification into five of the OWASP Top Ten risks. Specificity of 83% was achieved when analyzing individual sentences for multiple risks, and 90% negative prediction probability when applied to specific risk sentence relationships.
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