Building a Cloud-IDS by Hybrid Bio-Inspired Feature Selection Algorithms Along With Random Forest Model-Reference-Cited by-同舟云学术

Building a Cloud-IDS by Hybrid Bio-Inspired Feature Selection Algorithms Along With Random Forest Model

Published:2024 Issue: Volume:12 Page:8846-8874
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Bakro Mhamad¹^ORCID,Kumar Rakesh Ranjan¹,Husain Mohammad²,Ashraf Zubair³^ORCID,Ali Arshad²,Yaqoob Syed Irfan⁴^ORCID,Ahmed Mohammad Nadeem⁵^ORCID,Parveen Nikhat⁶

Affiliation:

1. Department of Computer Science and Engineering, C. V. Raman Global University, Odisha, Bhubaneswar, India

2. Department of Computer Science, Faculty of Computer and Information Systems, Islamic University of Madinah, Madinah, Saudi Arabia

3. Department of Computer Engineering and Applications, GLA University, Mathura, Uttar Pradesh, India

4. Department of Computer Science and Applications, Dr. Vishwanath Karad MIT World Peace University, Pune, India

5. Department of Computer Science, King Khalid University, Abha, Saudi Arabia

6. Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10388239.pdf?arnumber=10388239

Reference100 articles.

1. OPTCLOUD: An Optimal Cloud Service Selection Framework Using QoS Correlation Lens

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3. Prioritization based Taxonomy of Cloud-based Outsource Software Development Challenges: Fuzzy AHP analysis

4. Performance Analysis of Cloud Computing Encryption Algorithms

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