Detecting Network Intrusion in Cloud Environment Through Ensemble Learning and Feature Selection Approach-Reference-Cited by-同舟云学术

Detecting Network Intrusion in Cloud Environment Through Ensemble Learning and Feature Selection Approach

Published:2023-12-11 Issue:1 Volume:5 Page:
ISSN:2661-8907
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Khan Minhaj^ORCID,Haroon Mohd.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Networks and Communications,Computer Graphics and Computer-Aided Design,Computational Theory and Mathematics,Artificial Intelligence,General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s42979-023-02390-z.pdf

Reference25 articles.

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2. Arjunan K, Modi CN (2017) An enhanced intrusion detection framework for securing network layer of cloud computing. In: 2017 ISEA Asia security and privacy (ISEASP) (pp. 1–10). IEEE.

3. Butt UA, Mehmood M, Shah SBH, Amin R, Shaukat MW, Raza SM, Piran M. A review of machine learning algorithms for cloud computing security. Electronics. 2020;9(9):1379.

4. Krishnaveni S, Sivamohan S, Sridhar SS, Prabakaran S. Efficient feature selection and classification through ensemble method for network intrusion detection on cloud computing. Clust Comput. 2021;24(3):1761–79.

5. Padmakumari P, Surendra K, Sowmya M, Sravya M. Effective intrusion detection system for cloud architecture. ARPN J Eng Appl Sci. 2014;9(11):2135–9.

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