Network intrusion detection based on ensemble classification and feature selection method for cloud computing-Reference-Cited by-同舟云学术

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Network intrusion detection based on ensemble classification and feature selection method for cloud computing

Published:2022-01-24 Issue:11 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Krishnaveni Sivamohan¹^ORCID,Sivamohan Sivanandam¹,Sridhar Subramanian²^ORCID,Prabhakaran Subramani²

Affiliation:

1. Department of Software Engineering SRMIST Chennai India

2. Department of Computer Science and Engineering SRMIST Chennai India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6838

Reference58 articles.

1. A novel intrusion severity analysis approach for Clouds

2. KholidyHA BaiardiF.CIDS: a framework for intrusion detection in cloud systems. Proceedings of the 2012 9th International Conference on Information Technology‐New Generations; April 16 2012:379‐385; IEEE. doi:10.1109/ITNG.2012.94

3. Security testing for android application by malware detection on cloud computing;Krishnaveni S;J Chem Pharm Sci,2016

4. A Cooperative Intrusion Detection Model for Cloud Computing Networks

5. PhamNT FooE SuriadiS JeffreyH LahzaHFM.Improving performance of intrusion detection system using ensemble methods and feature selection. Proceedings of the ACM International Conference Proceeding Series. Association for Computing Machinery; 2018:1‐6; ACM New York NY. doi:10.1145/3167918.3167951

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2. FD‐DBN: Flow directed deep belief network for accurate anomaly detection in cloud computing;International Journal of Communication Systems;2023-08-23

3. TEA-EKHO-IDS: An intrusion detection system for industrial CPS with trustworthy explainable AI and enhanced krill herd optimization;Peer-to-Peer Networking and Applications;2023-06-27

4. A Novel SVM Based CFS for Intrusion Detection in IoT Network;2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET);2023-04-29

5. An optimized model for network intrusion detection systems in industry 4.0 using XAI based Bi-LSTM framework;Neural Computing and Applications;2023-03-10

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