Large-scale Firmware Vulnerability Analysis Based on Code Similarity

Sun, Haonan; Xie, Jiansheng; Bo, Lin; Yang, Xi

doi:10.1109/icpics52425.2021.9524216

2021 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS) 2021

DOI: 10.1109/icpics52425.2021.9524216

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Large-scale Firmware Vulnerability Analysis Based on Code Similarity

Haonan Sun

Jiansheng Xie

Lin Bo

et al.

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A lightweight IoT firmware vulnerability detection scheme based on homology detection

Liu¹,

Zhang²,

Wang³

et al. 2022

JHS

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In recent years, with the rapid development of IoT technology, hundreds of millions of IoT devices have been manufactured and applied, and the subsequent IoT attacks have become more and more severe. The complex and diverse architecture of IoT devices, coupled with the lack of security development specifications by IoT device manufacturers, and the widespread misuse and abuse of code, lead to the proliferation of IoT vulnerabilities. The conventional IoT vulnerability detection scheme is expensive to operate, and the implementation technology is complex, which is difficult to be fully promoted. This paper proposes a lightweight IoT firmware vulnerability detection scheme based on homology detection. The processing is converted into a feature vector, which effectively reduces the platform dependence. Combined with the database technology, the storage and retrieval efficiency is increased, and the same-origin vulnerability detection is realized by calculating the cosine similarity of the vector. The experimental results show that this scheme can effectively identify the vulnerabilities in firmware.

show abstract

A lightweight IoT firmware vulnerability detection scheme based on homology detection

Liu¹,

Zhang²,

Wang³

et al. 2022

JHS

View full text Add to dashboard Cite

show abstract

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Large-scale Firmware Vulnerability Analysis Based on Code Similarity

Cited by 1 publication

References 8 publications

A lightweight IoT firmware vulnerability detection scheme based on homology detection

A lightweight IoT firmware vulnerability detection scheme based on homology detection

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