Intelligent vulnerability detection system based on graph structured source code slice
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 u...
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Format: | Article |
Language: | English |
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POSTS&TELECOM PRESS Co., LTD
2021-10-01
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Series: | 网络与信息安全学报 |
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Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2021088 |
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author | Deqing ZOU Xiang LI Minhuan HUANG Xiang SONG Hao LI Weiming LI |
author_facet | Deqing ZOU Xiang LI Minhuan HUANG Xiang SONG Hao LI Weiming LI |
author_sort | Deqing ZOU |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-ea0694eaa8ec4a44bc661c817fc0e577 |
institution | Kabale University |
issn | 2096-109X |
language | English |
publishDate | 2021-10-01 |
publisher | POSTS&TELECOM PRESS Co., LTD |
record_format | Article |
series | 网络与信息安全学报 |
spelling | doaj-art-ea0694eaa8ec4a44bc661c817fc0e5772025-01-15T03:15:15ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2021-10-01711312259568926Intelligent vulnerability detection system based on graph structured source code sliceDeqing ZOUXiang LIMinhuan HUANGXiang SONGHao LIWeiming LIFor 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.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2021088vulnerability detectiongraph structurecode slicedeep learning |
spellingShingle | Deqing ZOU Xiang LI Minhuan HUANG Xiang SONG Hao LI Weiming LI Intelligent vulnerability detection system based on graph structured source code slice 网络与信息安全学报 vulnerability detection graph structure code slice deep learning |
title | Intelligent vulnerability detection system based on graph structured source code slice |
title_full | Intelligent vulnerability detection system based on graph structured source code slice |
title_fullStr | Intelligent vulnerability detection system based on graph structured source code slice |
title_full_unstemmed | Intelligent vulnerability detection system based on graph structured source code slice |
title_short | Intelligent vulnerability detection system based on graph structured source code slice |
title_sort | intelligent vulnerability detection system based on graph structured source code slice |
topic | vulnerability detection graph structure code slice deep learning |
url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2021088 |
work_keys_str_mv | AT deqingzou intelligentvulnerabilitydetectionsystembasedongraphstructuredsourcecodeslice AT xiangli intelligentvulnerabilitydetectionsystembasedongraphstructuredsourcecodeslice AT minhuanhuang intelligentvulnerabilitydetectionsystembasedongraphstructuredsourcecodeslice AT xiangsong intelligentvulnerabilitydetectionsystembasedongraphstructuredsourcecodeslice AT haoli intelligentvulnerabilitydetectionsystembasedongraphstructuredsourcecodeslice AT weimingli intelligentvulnerabilitydetectionsystembasedongraphstructuredsourcecodeslice |