Intelligent vulnerability detection system based on graph structured source code slice
| Autor: | ZOU Deqing, LI Xiang, HUANG Minhuan, SONG Xiang, LI Hao, LI Weiming |
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| Jazyk: | English<br />Chinese |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | 网络与信息安全学报, Vol 7, Iss 5, Pp 113-122 (2021) |
| Druh dokumentu: | article |
| ISSN: | 2096-109x 2096-109X |
| DOI: | 10.11959/j.issn.2096-109x.2021088 |
| Popis: | For the intelligent vulnerability detection, the system extracts the graph structured source code slices according to the vulnerability characteristics from the program dependency graph of source code, and then presents the graph structured slice information to carry out vulnerability detection by using the graph neural network model. Slice level vulnerability detection was realized and the vulnerability line was located at the code line level. In order to verify the effectiveness of the system, compared with the static vulnerability detection systems, the vulnerability detection system based on serialized text information, and the vulnerability detection system based on graph structured information, the experimental results show that the proposed system has a high accuracy in the vulnerability detection capability and a good performance in the vulnerability code line prediction. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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