Design and Implementation of System of the Web Vulnerability Detection Based on Crawler and Natural Language Processing-Reference-Cited by-同舟云学术

Design and Implementation of System of the Web Vulnerability Detection Based on Crawler and Natural Language Processing

Published:2022-05 Issue: Volume: Page:
ISSN:
Container-title:2022 7th International Conference on Information and Network Technologies (ICINT)
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Author:

Ge Xin¹,Yue Minnan²

Affiliation:

1. Information Office, University of Shanghai for Science and Technology,Shanghai,China

2. School of Energy and Power Engineering, University of Shanghai for Science and Technology,Shanghai,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9939175/9939250/09939264.pdf?arnumber=9939264

Reference17 articles.

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4. VulDeePecker: A Deep Learning-Based System for Vulnerability Detection

5. Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via graph neural networks;zhou;Proceedings of the 33rd Conference on Advances in Neural Information Processing Systems,2019

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