Apr 27, 2024 · This work explores the possibility of building effective SQLi detectors through machine learning. Specifically, we investigate the impact of contextualized and ...
We design a system based on machine learning for preventing SQL injection attack, which utilizes pattern classifiers to detect injection attacks and protect web ...
Enhancing Machine Learning Based SQL Injection Detection Using Contextualized Word Embedding ... Detection of SQL injection based on artificial neural network.
Enhancing Machine Learning Based SQL Injection Detection Using Contextualized Word Embedding | Conference Paper individual record.
Enhancing Machine Learning Based SQL Injection Detection Using Contextualized Word Embedding. https://doi.org/10.1145/3603287.3651187. Journal: Proceedings of ...
Enhancing Machine Learning Based SQL Injection Detection Using Contextualized Word Embedding | Conference Paper individual record.
Sep 16, 2024 · available in some network environments. Contextualized word embeddings increase the precision rate of machine learning-based SQL injection ...
Enhancing Machine Learning Based SQL Injection Detection Using Contextualized Word Embedding. Conference Paper. Apr 2024. Janet Zulu · Bonian Han ...
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A semantic learning-based detector known as synBERT was proposed, which uses embedding vectors to recognize the patterns within individual SQL queries which ...
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Multidisciplinary Digital Pu... Other. Enhancing Machine Learning Based SQL Injection Detection Using Contextualized Word Embedding. Request PDF. Open Access.