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首页> 外文期刊>Security & Privacy, IEEE >Vulnerability Detection Systems: Think Cyborg, Not Robot
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Vulnerability Detection Systems: Think Cyborg, Not Robot

机译:漏洞检测系统:思考机器人,而不是机器人

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摘要

Systems proposed in academic research have so far failed to make a significant impact on real-world vulnerability detection. Most software bugs are still found by methods with little input from static-analysis and verification research. These research areas could have a significant impact on software security, but first we need a shift in research goals and approaches. We need systems that incorporate human code auditors' knowledge and abilities, and we need evaluation methods that actually test proposed systems' usability in real situations. Without changes, academic research will continue to be ignored by the security community, and opportunities to build better tools for finding bugs and understanding software will be missed.
机译:迄今为止,学术研究中提出的系统未能对现实世界的漏洞检测产生重大影响。多数软件错误仍然是通过静态分析和验证研究投入很少的方法发现的。这些研究领域可能会对软件安全性产生重大影响,但是首先我们需要改变研究目标和方法。我们需要结合了人类代码审核员的知识和能力的系统,并且需要评估方法在实际情况下实际测试提议的系统的可用性。如果没有变化,安全界将继续忽略学术研究,并且将错过建立更好的工具来查找错误和理解软件的机会。

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