A Sequential Detection Method for Intrusion Detection System Based on Artificial Neural Networks-Reference-Cited by-同舟云学术

A Sequential Detection Method for Intrusion Detection System Based on Artificial Neural Networks

Published:2020 Issue:2 Volume:10 Page:213-226
ISSN:2185-2839
Container-title:International Journal of Networking and Computing
language:en
Short-container-title:IJNC

Author:

Hao Zhao¹,Feng Yaokai¹,Koide Hiroshi¹,Sakurai Kouichi¹

Affiliation:

1. Kyushu University

Publisher

IJNC Editorial Committee

Link

https://www.jstage.jst.go.jp/article/ijnc/10/2/10_213/_pdf

Reference20 articles.

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2. [2] 5 Biggest Cyberattacks of 2019 and Lessons Learned: https://www.gflesch.com/blog/biggest-cyberattacks-2019 (accessed on April 29, 2020).

3. [3] Ozgur A and Erdem H. A review of kdd99 dataset usage in intrusion detection and machine learning between 2010 and 2015[j]. PeerJ Preprints, 4, 2016.

4. [4] Shams E A and Rizaner A. A novel support vector machine based intrusion detection system for mobile ad hoc networks. Wireless Networks, 2018.

5. [6] Lin W C and Ke S W. An intrusion detection system based on combining cluster centers and nearest neighbors. Knowledge-based systems, 2015.

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