Software vulnerability detection method based on code attribute graph presentation and Bi-LSTM neural network extraction-Reference-Cited by-同舟云学术

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Software vulnerability detection method based on code attribute graph presentation and Bi-LSTM neural network extraction

Published:2024-06-06 Issue: Volume:38 Page:60
ISSN:
Container-title:International Conference on Computer Network Security and Software Engineering (CNSSE 2024)
language:
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Author:

Jiang Hanqing,Ji Shaopei,Zha Chengchao,Liu Yanhong

Publisher

SPIE

Reference18 articles.

1. Detecting malware activity using public search data[C];Villanueva-Miranda,2022

2. Finding bugs using your own code: detecting functionally-similar yet inconsistent code[C];Ahmadi,2021

3. Nil: large-scale detection of large-variance clones[C];Nakagawa,2021

4. Deep learning based vulnerability detection: Are we there yet[J];Chakraborty;IEEE Transactions on Software Engineering,2021

5. Literature survey of deep learning-based vulnerability analysis on source code

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