A Network Intrusion Detection Approach Based on Asymmetric Convolutional Autoencoder

Author:

Ji Shujian,Ye Kejiang,Xu Cheng-Zhong

Publisher

Springer International Publishing

Reference32 articles.

1. internet security threat report. https://www.symantec.com/security-center/threat-report (2019)

2. Kdd99. http://kdd.ics.uci.edu/databases/kddcup99/kddcup99.html (2019)

3. Nsl-kdd dataset. https://www.unb.ca/cic/datasets/nsl.html (2019)

4. Alain, G., Bengio, Y., Rifai, S.: Regularized auto-encoders estimate local statistics. In: ICLR (2013)

5. Alrawashdeh, K., Purdy, C.: Toward an online anomaly intrusion detection system based on deep learning. In: 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 195–200. IEEE (2016)

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