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  • Open Access


    Binary Program Vulnerability Mining Based on Neural Network

    Zhenhui Li1, Shuangping Xing1, Lin Yu1, Huiping Li1, Fan Zhou1, Guangqiang Yin1, Xikai Tang2, Zhiguo Wang1,*

    CMC-Computers, Materials & Continua, Vol.78, No.2, pp. 1861-1879, 2024, DOI:10.32604/cmc.2023.046595

    Abstract Software security analysts typically only have access to the executable program and cannot directly access the source code of the program. This poses significant challenges to security analysis. While it is crucial to identify vulnerabilities in such non-source code programs, there exists a limited set of generalized tools due to the low versatility of current vulnerability mining methods. However, these tools suffer from some shortcomings. In terms of targeted fuzzing, the path searching for target points is not streamlined enough, and the completely random testing leads to an excessively large search space. Additionally, when it… More >

  • Open Access


    A Survey on Binary Code Vulnerability Mining Technology

    Pengzhi Xu1,2, Zetian Mai1,2, Yuhao Lin1, Zhen Guo1,2,*, Victor S. Sheng3

    Journal of Information Hiding and Privacy Protection, Vol.3, No.4, pp. 165-179, 2021, DOI:10.32604/jihpp.2021.027280

    Abstract With the increase of software complexity, the security threats faced by the software are also increasing day by day. So people pay more and more attention to the mining of software vulnerabilities. Although source code has rich semantics and strong comprehensibility, source code vulnerability mining has been widely used and has achieved significant development. However, due to the protection of commercial interests and intellectual property rights, it is difficult to obtain source code. Therefore, the research on the vulnerability mining technology of binary code has strong practical value. Based on the investigation of related technologies,… More >

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