Comparative Analysis of Data Security and Cloud Storage Models Using NSL KDD Dataset

Main Article Content

Dinesh Parkash, Sumit Mittal

Abstract

Cloud computing is becoming increasingly important in many enterprises, and researchers are focusing on safeguarding cloud computing. Due to the extensive variety of service options it offers, A significant amount of interest from the scientific community has been focused on cloud computing. The two biggest problems with cloud computing are security and privacy. The key challenge is maintaining privacy, which expands rapidly with the number of users. A perfect security system must efficiently ensure each security aspect. This study provides a literature review illustrating the security in the cloud with respect to privacy, integrity, confidentiality and availability, and it also provides a comparison table illustrating the differences between various security and storage models with respect to the approaches and components of the models offered. This study also compares Naïve Bayes and SVM on the accuracy, recall and precision metrics using the NSL KDD dataset.

Article Details

How to Cite
Dinesh Parkash, et al. (2023). Comparative Analysis of Data Security and Cloud Storage Models Using NSL KDD Dataset. International Journal on Recent and Innovation Trends in Computing and Communication, 11(10), 1222–1232. https://doi.org/10.17762/ijritcc.v11i10.8663
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Articles
Author Biography

Dinesh Parkash, Sumit Mittal

Dinesh Parkash 1, Dr. Sumit Mittal 2

1Research Scholar, MMICT & BM, Maharishi Markandeshwar (Deemed to be University),

Mullana, Ambala, Haryana, India

e-mail: dineshgcccs@gmail.com

2Professor, MMICT & BM, Maharishi Markandeshwar (Deemed to be University),

Mullana, Ambala, Haryana, India

e-mail: sumit.mittal@mmumullana.org