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Semantic aware-based instruction embedding for binary code similarity detection. [PDF]
PLoS OneBinary code similarity detection plays a crucial role in various applications within binary security, including vulnerability detection, malicious software analysis, etc. However, existing methods suffer from limited differentiation in binary embedding representations across different compilation environments, lacking dynamic high-level semantics ...
Jia Y, Yu Z, Hong Z.
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Binary Code Similarity Detection through LSTM and Siamese Neural Network [PDF]
ICST Transactions on Security and Safety, 2021 Given the fact that many software projects are closed-source, analyzing security-related vulnerabilities at the binary level is quintessential to protect computer systems from attacks of malware. Binary code similarity detection is a potential solution for detecting malware from the binaries generated by the processor.
Zhengping Luo +4 more
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Binary Code Representation With Well-Balanced Instruction Normalization
IEEE Access, 2023 The recovery of contextual meanings on a machine code is required by a wide range of binary analysis applications, such as bug discovery, malware analysis, and code clone detection.
Hyungjoon Koo +3 more
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Unleashing the power of pseudo-code for binary code similarity analysis
Cybersecurity, 2022 Code similarity analysis has become more popular due to its significant applicantions, including vulnerability detection, malware detection, and patch analysis. Since the source code of the software is difficult to obtain under most circumstances, binary-
Weiwei Zhang +3 more
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Review of Software Engineering Techniques and Methods Based on Explainable Artificial Intelligence [PDF]
Jisuanji kexue, 2023 In terms of information processing and decision-making,artificial intelligence(AI) methods have shown superior performance compared to traditional methods.However,when AI models are put into production,their output results are not guaranteed to be ...
XING Ying
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DeepDual-SD: Deep Dual Attribute-Aware Embedding for Binary Code Similarity Detection
International Journal of Computational Intelligence Systems, 2023 Binary code similarity detection (BCSD) is a task of detecting similarity of binary functions which are not available to the corresponding source code.
Jiabao Guo +5 more
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Survey on static software vulnerability detection for source code
网络与信息安全学报, 2019 Static software vulnerability detection is mainly divided into two types according to different analysis objects: vulnerability detection for binary code and vulnerability detection for source code.
LI Zhen, WANG Zeli, JIN Hai, ZOU Deqing
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BEDetector: A Two-Channel Encoding Method to Detect Vulnerabilities Based on Binary Similarity
IEEE Access, 2021 Applying neural network technology to binary similarity detection has become a promising search topic, and vulnerability detection is an important application field of binary similarity detection. When embedding binary code into matrix by neural network,
Lu Yu +4 more
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Survey of Binary Code Similarity Detection Method [PDF]
Jisuanji kexueCode similarity detection can be divided into two types according to the research object:source code similarity detection and binary code similarity detection,which are commonly used in scenarios such as malicious code identification,vulnerability search,
WEI Youyuan, SONG Jianhua, ZHANG Yan
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Study on Binary Code Similarity Detection Based on Jump-SBERT [PDF]
Jisuanji kexueBinary code similarity detection technology plays an important role in different security fields.Aiming at the problems of the existing binary code similarity detection methods,such as high computational cost and low accuracy,incomplete semantic ...
YAN Yintong, YU Lu, WANG Taiyan, LI Yuwei, PAN Zulie
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