An advanced computing approach for software vulnerability detection
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-19682-y.pdf
Reference58 articles.
1. Lin G, Wen S, Han Q-L, Zhang J, Xiang Y (2020) Software Vulnerability Detection Using Deep Neural Networks: A Survey. Proc IEEE 108(10):1825–1848. https://doi.org/10.1109/JPROC.2020.2993293
2. Cvedetails. https://www.cvedetails.com/. Accessed 12/2/2024
3. CVE. https://cve.mitre.org/. Accessed 23 Jan 2024
4. Do Xuan C, Mai DH, Thanh MC et al (2023) A novel approach for software vulnerability detection based on intelligent cognitive computing. J Supercomput 79:17042–17078. https://doi.org/10.1007/s11227-023-05282-4
5. Zeng G, Lin L, Pan Y. Tai, Zhang J (2020) Software Vulnerability Analysis and Discovery Using Deep Learning Techniques: A Survey. IEEE Access 8:197158–197172. https://doi.org/10.1109/ACCESS.2020.3034766
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