Intrusion Detection System for NSL-KDD Dataset Using Convolutional Neural Networks-Reference-Cited by-同舟云学术

Intrusion Detection System for NSL-KDD Dataset Using Convolutional Neural Networks

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence - CSAI '18
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Author:

Ding Yalei¹,Zhai Yuqing¹

Affiliation:

1. Southeast University, China

Publisher

ACM Press

Reference21 articles.

1. SANS Institute.(2018, Oct.) The History and Evolution of Intrusion Detection. [Online].Available: https://www.sans.org/reading-room/whitepapers/detection/history-evolution-intrusion-detection-344.

2. Sarkar T, Das N. Survey on Host and Network Based Intrusion Detection System[J]. 2014, 6(2):2266--2269.

3. Yin C, Zhu Y, Fei J, et al. A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks[J]. IEEE Access, 2017, 5(99):21954--21961.

4. MLecun Y, Bengio Y, Hinton G. Deep learning[J]. Nature, 2015, 521(7553):436.

5. Schmidhuber J. Deep Learning in neural networks: An overview.[J]. Neural Netw, 2015, 61:85--117.

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