NDSS 2024 - SigmaDiff: Semantics-Aware Deep Graph Matching for Pseudocode Diffing скачать в хорошем качестве

NDSS 2024 - SigmaDiff: Semantics-Aware Deep Graph Matching for Pseudocode Diffing

SESSION 11B-1 SigmaDiff: Semantics-Aware Deep Graph Matching for Pseudocode Diffing Pseudocode diffing precisely locates similar parts and captures differences between the decompiled pseudocode of two given binaries. It is particularly useful in many security scenarios such as code plagiarism detection, lineage analysis, patch, vulnerability analysis, etc. However, existing pseudocode diffing and binary diffing tools suffer from low accuracy and poor scalability, since they either rely on manually-designed heuristics (e.g., Diaphora) or heavy computations like matrix factorization (e.g., DeepBinDiff). To address the limitations, in this paper, we propose a semantics-aware, deep neural network-based model called SigmaDiff. SigmaDiff first constructs IR (Intermediate Representation) level interprocedural program dependency graphs (IPDGs). Then it uses a lightweight symbolic analysis to extract initial node features and locate training nodes for the neural network model. SigmaDiff then leverages the state-of-the-art graph matching model called Deep Graph Matching Consensus (DGMC) to match the nodes in IPDGs. SigmaDiff also introduces several important updates to the design of DGMC such as the pre-training and fine-tuning schema. Experimental results show that SigmaDiff significantly outperforms the state-of-the-art heuristic-based and deep learning-based techniques in terms of both accuracy and efficiency. It is able to precisely pinpoint eight vulnerabilities in a widely-used video conferencing application. PAPER https://www.ndss-symposium.org/wp-con... AUTHORS Lian Gao (University of California Riverside), Yu Qu (University of California Riverside), Sheng Yu (University of California, Riverside & Deepbits Technology Inc.), Yue Duan (Singapore Management University), Heng Yin (University of California, Riverside & Deepbits Technology Inc.) Network and Distributed System Security (NDSS) Symposium 2024, 26 February – 1 March 2024 in San Diego, California. ABOUT NDSS The Network and Distributed System Security Symposium (NDSS) fosters information exchange among researchers and practitioners of network and distributed system security. The target audience includes those interested in practical aspects of network and distributed system security, with a focus on actual system design and implementation. A major goal is to encourage and enable the Internet community to apply, deploy, and advance the state of available security technologies. https://www.ndss-symposium.org/ #NDSS #NDSS24 #NDSS2024 #InternetSecurity