IT has two phases: the learning phase and the detection phase. In the learning phase, the system first extracts program slices from training binary programs and adds corresponding labels to the program slice. Then, the system converts program slices into vectors for training the neural network model.
We show that BVDetector can effectively detect vulnerabilities related to library/API function calls in binary programs, which reduces the false positive rate ...
BVLIFS, a binary code vulnerability location identification system based on program slice, generates binary slices based on control dependencies and data ...
Jul 30, 2024 · In this paper, we propose a Binary vulnerability detection method based on Graph neural network combined with Assembly Language model (BinVuGAL).
In this paper, we propose BinVulDet, which is a binary level vulnerability detection tool for accurate known and unknown vulnerability detection. BinVulDet uses ...
BVDetector: A program slice-based binary code vulnerability intelligent detection system. Junfeng Tian ; Wenjing Xing ; Zhen Li. [1] Hebei University ...
BVDetector: A program slice-based binary code vulnerability intelligent detection system. J Tian, W Xing, Z Li. Information and Software Technology 123 ...
Zhen Li's research works | Hebei University and other places
www.researchgate.net › Zhen-Li-217089...
We show that BVDetector can effectively detect vulnerabilities related to library/API function calls in binary programs, which reduces the false positive rate ...
This paper implements a vulnerability detection system by combining source code and assembly code models, and shows that the system presents a stable and ...
Jun 28, 2023 · Li, ''BVDetector: A program slice-based binary code vulnerability intelligent detection system,'' Inf. Softw. Technol., vol. 123, Jul. 2020 ...