Analysis of Cloud and Self-Web-Hosting Services Based on Security Parameters

Author:

Khare Surbhi1,Badholia Abhishek1

Affiliation:

1. Department of CSE, MATS School of Engineering, India & IT MATS University, Raipur, India

Abstract

Most of the web applications are hosting by cloud due to low cost and low infrastructure setup is required. In continue to this, user no need to maintain the infrastructure by their own. In this paper, both the technology, self-web-hosting, and cloud-web-hosting are compared based on different security parameters like key generation (PKI), automatic authentication and protection of intra-tenant networks, secure logging system events, spam filtering, CAPTCHA generation and authentication, and software widgets such as password metering. These parameters are classified into seven categories and the review has been conducted based on these categories. The bibliometric analysis has been conducted where ever more than 70 research found in Web-of-Science (WoS) database through bibliometric library and biblioshine package in R programming. The outcome of this analysis is presented in tabular form, and open challenges of both the technologies are discussed in details with proposed solutions.

Publisher

IGI Global

Subject

Management of Technology and Innovation,Information Systems

Reference35 articles.

1. Autonomic cloud resource management.;A.Agarwal;2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC),2018

2. Sla-based autonomic cloud resource management framework by antlion optimization algorithm.;A.Agarwal;International Journal of Innovative Technology and Exploring Engineering,2019

3. Detection of Bots in CAPTCHA as a Cloud Service Utilizing Machine Learning

4. A Fog-Augmented Machine Learning based SMS Spam Detection and Classification System

5. Cherkasova, L. (1999). Scalable Web Hosting Service. HP Laboratories Technical Report HPL, (52/REV).

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1. Entangled Clouds: Measuring the Hosting Infrastructure of the Free Contents Web;Proceedings of the 2023 on Cloud Computing Security Workshop;2023-11-26

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