A semi-self-taught network intrusion detection system-Reference-Cited by-同舟云学术

A semi-self-taught network intrusion detection system

Published:2020-04-30 Issue:23 Volume:32 Page:17169-17179
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Zhao Feng,Zhang Hao,Peng Jia,Zhuang Xiaohong,Na Sang-Gyun

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-020-04914-7.pdf

Reference33 articles.

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4. Tartakovsky AG, Rozovskii BL, Blazek RB, Kim H (2006) A novel approach to detection of intrusions in computer networks via adaptive sequential and batch-sequential change-point detection methods. IEEE Trans Signal Process 54(9):3372–3382

5. Dahlia A, Zainaddin A, Hanapi ZM (2013) Hybrid of fuzzy clustering neural network over nsl dataset for intrusion detection system. J Comput Sci 9(3):391–403. https://doi.org/10.3844/jcssp.2013.391.403

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