Results 1 to 10 of about 23,672 (95)

IoTSim: Internet of Things-Oriented Binary Code Similarity Detection with Multiple Block Relations [PDF]

Sensors, 2023
Binary code similarity detection (BCSD) plays a crucial role in various computer security applications, including vulnerability detection, malware detection, and software component analysis. With the development of the Internet of Things (IoT), there are
Zhenhao Luo, Pengfei Wang, Wei Xie, Xu Zhou, Baosheng Wang   +4 more
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Multi-semantic feature fusion attention network for binary code similarity detection [PDF]

Scientific Reports, 2023
Binary code similarity detection (BCSD) plays a big role in the process of binary application security test. It can be applied in several fields, such as software plagiarism detection, malware analysis, vulnerability detection.
Bangling Li, Yuting Zhang, Huaxi Peng, Qiguang Fan, Shen He, Yan Zhang, Songquan Shi, Yang Zhang, Ailiang Ma   +8 more
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MSSA: multi-stage semantic-aware neural network for binary code similarity detection [PDF]

PeerJ Computer Science
Binary code similarity detection (BCSD) aims to identify whether a pair of binary code snippets is similar, which is widely used for tasks such as malware analysis, patch analysis, and clone detection.
Bangrui Wan, Jianjun Zhou, Ying Wang, Feng Chen, Ying Qian   +4 more
doaj   +3 more sources

BlockMatch: A Fine-Grained Binary Code Similarity Detection Approach Using Contrastive Learning for Basic Block Matching

Applied Sciences, 2023
Binary code similarity detection (BCSD) plays a vital role in computer security and software engineering. Traditional BCSD methods heavily rely on specific features and necessitate rich expert knowledge, which are sensitive to code alterations.
Zhenhao Luo, Pengfei Wang, Wei Xie, Xu Zhou, Baosheng Wang   +4 more
doaj   +3 more sources

A Lightweight Cross-Version Binary Code Similarity Detection Based on Similarity and Correlation Coefficient Features

IEEE Access, 2020
The technique of binary code similarity detection (BCSD) has been applied in many fields, such as malware detection, plagiarism detection and vulnerability search, etc.
Hui Guo, Shuguang Huang, Cheng Huang, Min Zhang, Zulie Pan, Fan Shi, Hui Huang, Donghui Hu, Xiaoping Wang   +8 more
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Feature Extraction Methods for Binary Code Similarity Detection Using Neural Machine Translation Models

IEEE Access, 2023
Binary code similarity detection is an effective analysis technique for vulnerability, bug, and plagiarism detection in software for which the source code cannot be obtained.
Norimitsu Ito, Masaki Hashimoto, Akira Otsuka   +2 more
doaj   +3 more sources

Cross-Architecture Binary Code Similarity-Detection Method Based on Contextual Information

Applied Sciences
With the rapid growth of software scale, binary code similarity detection is of great significance in security analysis tasks, such as malicious code detection and vulnerability mining.
Xingyu Zeng, Yujie Yang, Qiaoyan Wen, Sujuan Qin   +3 more
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GBsim: A Robust GCN-BERT Approach for Cross-Architecture Binary Code Similarity Analysis [PDF]

Entropy
Recent advances in graph neural networks have transformed structural pattern learning in domains ranging from social network analysis to biomolecular modeling.
Jiang Du, Qiang Wei, Yisen Wang, Xingyu Bai   +3 more
doaj   +2 more sources

Binary Code Similarity Detection Method Based on Pre-training Assembly Instruction Representation [PDF]

Jisuanji kexue, 2023
Binary code similarity detection has been widely used in vulnerability searching,malware detection,advanced program analysis and other fields in recent years,while program code is similar to natural language in a degree,researchers start to use pre ...
WANG Taiyan, PAN Zulie, YU Lu, SONG Jingbin
doaj   +1 more source

Neural Network-based Binary Function Similarity Detection [PDF]

Jisuanji kexue, 2021
Binary code similarity detection has extensive and important applications in program traceability and security audit.In recent years,the application of neural network technology in binary code similarity detection has broken through the performance ...
FANG Lei, WEI Qiang, WU Ze-hui, DU Jiang, ZHANG Xing-ming
doaj   +1 more source