June 2, 2022, 1:20 a.m. | Qige Song, Yongzheng Zhang, Binglai Wang, Yige Chen

cs.CR updates on arXiv.org arxiv.org

The big wave of Internet of Things (IoT) malware reflects the fragility of
the current IoT ecosystem. Research has found that IoT malware can spread
quickly on devices of different processer architectures, which leads our
attention to cross-architecture binary similarity comparison technology. The
goal of binary similarity comparison is to determine whether the semantics of
two binary snippets is similar. Existing learning-based approaches usually
learn the representations of binary code snippets individually and perform
similarity matching based on the distance …

architecture binary iot similarity

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