Detecting Attacks on Web Applications using Autoencoder-Reference-Cited by-同舟云学术

Detecting Attacks on Web Applications using Autoencoder

Published:2018 Issue: Volume: Page:
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Container-title:Proceedings of the Ninth International Symposium on Information and Communication Technology - SoICT 2018
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Author:

Mac Hieu¹,Truong Dung¹,Nguyen Lam¹,Nguyen Hoa²,Tran Hai Anh¹,Tran Duc¹

Affiliation:

1. Bach Khoa Cybersecurity Centre, HUST, Vietnam

2. Department of Information Systems UET-VNU Vietnam

Publisher

ACM Press

Reference20 articles.

1. Guillaume Alain and Yoshua Bengio. 2014. What regularized auto-encoders learn from the data-generating distribution. The Journal of Machine Learning Research 15, 1 (2014), 3563--3593.

2. François Chollet et al. 2015. Keras.

3. Symantec Corproration. 2016. Internet security threat report.

4. Carmen Torrano Giménez, Alejandro Pérez Villegas, and Gonzalo Álvarez Marañón. 2010. HTTP data set CSIC 2010.

5. Ian Goodfellow, Yoshua Bengio, Aaron Courville, and Yoshua Bengio. 2016. Deep learning. Vol. 1. MIT press Cambridge.

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