An ensemble of LSTM, GRU, and stacked autoencoders trained only on normal web requests is reported to detect zero-day web attacks with 97.58 percent accuracy and a 0.2 percent false-positive rate on CSIC2012.
Deep learning technique-enabled web application firewall for the detection of web attacks
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Detecting Zero-Day Web Attacks with an Ensemble of LSTM, GRU, and Stacked Autoencoders
An ensemble of LSTM, GRU, and stacked autoencoders trained only on normal web requests is reported to detect zero-day web attacks with 97.58 percent accuracy and a 0.2 percent false-positive rate on CSIC2012.