Results 1 to 10 of about 111,695 (152)

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
doaj   +4 more sources

Scalable Source Code Similarity Detection in Large Code Repositories [PDF]

EAI Endorsed Transactions on Scalable Information Systems, 2019
Source code similarity are increasingly used in application development to identify clones, isolate bugs, and find copy-rights violations. Similar code fragments can be very problematic due to the fact that errors in the original code must be fixed in ...
Firas Alomari, Muhammed Harbi
doaj   +4 more sources

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
doaj   +2 more sources

Review of Code Similarity and Plagiarism Detection Research Studies

Applied Sciences, 2023
The foundational technique of code similarity detection, which underpins plagiarism detection tools, has already reached a level of maturity where it can be effectively employed for practical applications, demonstrating commendable performance.
Gunwoo Lee, Jindae Kim, Myung-seok Choi, Rae-Young Jang, Ryong Lee   +4 more
doaj   +3 more sources

Academic Source Code Plagiarism Detection by Measuring Program Behavioral Similarity

IEEE Access, 2021
Source code plagiarism is a long-standing issue in tertiary computer science education. Many source code plagiarism detection tools have been proposed to aid in the detection of source code plagiarism.
Hayden Cheers, Yuqing Lin, Shamus P. Smith   +2 more
doaj   +3 more sources

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

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
doaj   +3 more sources

Exploring the Boundaries Between LLM Code Clone Detection and Code Similarity Assessment on Human and AI-Generated Code

Big Data and Cognitive Computing
As Large Language Models (LLMs) continue to advance, their capabilities in code clone detection have garnered significant attention. While much research has assessed LLM performance on human-generated code, the proliferation of LLM-generated code raises ...
Zixian Zhang, Takfarinas Saber
doaj   +3 more sources

A Survey of Binary Code Similarity Detection Techniques

Electronics (Switzerland)
Binary Code Similarity Detection is a method that involves comparing two or more binary code segments to identify their similarities and differences. This technique plays a crucial role in areas such as software security, vulnerability detection, and software composition analysis. With the extensive use of binary code in software development and system
Qizhen Xu
exaly   +2 more sources

UniASM: Binary code similarity detection without fine-tuning

Neurocomputing
Binary code similarity detection (BCSD) is widely used in various binary analysis tasks such as vulnerability search, malware detection, clone detection, and patch analysis. Recent studies have shown that the learning-based binary code embedding models perform better than the traditional feature-based approaches.
Yeming Gu, Fan Hu, Hui Shu
exaly   +3 more sources