Real-Time Intrusion Detection System Using Computational Intelligence and Neural Network: Review, Analysis and Anticipated Solution of Machine Learning-Reference-Cited by-同舟云学术

Real-Time Intrusion Detection System Using Computational Intelligence and Neural Network: Review, Analysis and Anticipated Solution of Machine Learning

Published:2018-05-09 Issue: Volume: Page:153-161
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Tiwari Abhishek

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-7590-2_11

Reference26 articles.

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2. Qiuwen, C. et al.: AnRAD: a neuromorphic anomaly detection framework for massive concurrent data streams. IEEE Trans. Neural Netw. Learning Systems, 17 March 2017, https://doi.org/10.1109/tnnls.2017.2676110

3. The KDD99 Dataset. Retrieved from January 26, 2008, http://kdd.ics.uci.edu/databases/kddcup99/task.html

4. The Internet Exploration Shootout Dataset. Retrieved 2008 from http://ivpr.cs.uml.edu/shootout/network.html

5. The Unix User Dataset. Retrieved January 26, 2008, from http://kdd.ics.uci.edu/databases/UNIX_user_data/UNIX_user_data.html

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