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Updated: May 10, 2025

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GBsim:用于跨架构二进制代码相似性分析的强大的GCN-BERT方法

Jiang Du1, Qiang Wei1, Yisen Wang1

  • 1School of Cyber Science and Engineering, Information Engineering University, Zhengzhou 450001, China.

Entropy (Basel, Switzerland)
|April 26, 2025
PubMed
概括

GBsim通过结合图形神经网络和自然语言处理来增强二进制代码相似性检测. 这种方法可以提高不同架构的漏洞识别准确度,即使有噪音数据.

关键词:
二进制代码相似性分析跨架构嵌入式嵌入式图表神经网络的稳定性 神经网络的稳定性混合深度学习是混合深度学习.

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