Unsupervised Anomaly Detection for Network Flow Using Immune Network Based K-means Clustering-Reference-Cited by-同舟云学术

Unsupervised Anomaly Detection for Network Flow Using Immune Network Based K-means Clustering

Published:2017 Issue: Volume: Page:386-399
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Shi Yuanquan,Peng Xiaoning,Li Renfa,Zhang Yu

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-6385-5_33

Reference35 articles.

1. Li, B., et al.: A survey of network flow applications. J. Netw. Comput. Appl. 36(2), 567–581 (2013)

2. Sperotto, A., et al.: An overview of IP flow-based intrusion detection. IEEE Commun. Surv. Tutor. 12(3), 343–356 (2010)

3. Moore, A., Denis, Z., Crogan, M.: Discriminators for use in flow-based classification. Department of Computer Science, Queen Mary and Westfield College (2005)

4. Tan, Z., et al.: Detection of denial-of-service attacks based on computer vision techniques. IEEE Trans. Comput. 64(9), 2519–2533 (2015)

5. Ahmed, M., Mahmood, A., Hu, J.: A survey of network anomaly detection techniques. J. Netw. Comput. Appl. 60, 19–31 (2016)

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Training Artificial Immune Networks as Standalone Generative Models for Realistic Data Synthesis;IFIP Advances in Information and Communication Technology;2024

2. SupervisedImmuneNet: Training Artificial Immune Networks using a Supervised Learning Approach for Improved Multi-Class Classification;Proceedings of the 2023 6th International Conference on Computational Intelligence and Intelligent Systems;2023-11-25

3. Dynamic Micro-cluster-Based Streaming Data Clustering Method for Anomaly Detection;Communications in Computer and Information Science;2023

4. Evolving anomaly detection for network streaming data;Information Sciences;2022-08

5. Technology, Science and Culture: A Global Vision, Volume III;Technology, Science and Culture - A Global Vision, Volume III;2022-05-04