An Improved Design for a Cloud Intrusion Detection System Using Hybrid Features Selection Approach With ML Classifier-Reference-Cited by-同舟云学术

An Improved Design for a Cloud Intrusion Detection System Using Hybrid Features Selection Approach With ML Classifier

Author:

Bakro Mhamad¹^ORCID,Kumar Rakesh Ranjan¹,Alabrah Amerah²,Ashraf Zubair³^ORCID,Ahmed Md Nadeem⁴^ORCID,Shameem Mohammad⁵^ORCID,Abdelsalam Ahmed⁶^ORCID

Affiliation:

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

2. Department of Information Systems, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

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

4. Department of AIT-Computer Science Engineering (CSE), Chandigarh University, Chandigarh, Punjab, India

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

6. Department of Software Engineering, School of Engineering Science, LUT University, Lappeenranta, Finland

Funder

King Saud University, Riyadh, Saudi Arabia, through the Researchers Supporting Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference62 articles.

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