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Vulnerable JavaScript functions detection using stacking of convolutional neural networks

Authors: Abdullah Sheneamer

Source: PeerJ Computer Science, Vol 10, p e1838 (2024)

Subject Terms: Vulnerable Javascript functions detection, Code security, Security of web applications, JavaScript engine vulnerability, Cross-site scripting detection, Stacking convolutional neural networks (CNNs), Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://peerj.com/articles/cs-1838.pdf; https://peerj.com/articles/cs-1838/; https://doaj.org/toc/2376-5992

Access URL: https://doaj.org/article/79d988f5828444de9300ba102e28bb1b