Anomaly Detection for HTTP Using Convolutional Autoencoders

Hypertext transfer protocol (HTTP) intrusion has long been a major issue in network security. Anomaly detection methods for detecting such intrusions have been shown to be highly effective, as they learn patterns from the characteristics of normal HTTP messages and search for deviations to detect an...

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Bibliografiset tiedot
Päätekijät:	Seungyoung Park, Myungjin Kim, Seokwoo Lee
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2018-01-01
Sarja:	IEEE Access
Aiheet:	Anomaly detection HTTP convolutional autoencoder CAE character-level convolutional network binary cross entropy
Linkit:	https://ieeexplore.ieee.org/document/8532358/
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Anomaly Detection for HTTP Using Convolutional Autoencoders

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