A Comprehensive Survey on Strategies for Enhancing Cloud Security and Data Protection

In this survey paper, the critical security and privacy issues in cloud computing are taken into consideration, and made use of improving data security measures and confidences concerning sensitive information against potential threats from both outside attackers and cloud providers toward bracing the serious barriers to the widespread adoption of cloud technology. It applies ontological approaches toward an overall security assurance model with the help of ontology-based approaches to facilitate improved data protection along with compliance verification. The key advantages of the new security protocols and methodologies developed under this proposed framework allow customers to maintain control over their information and to validly verify safety measures. This framework will address one of the fastest growing needs for improving data security in the cloud, encouraging further trust and facilitating wider acceptance of cloud services. This survey provides a comprehensive analysis of the current ontologybased security solutions, summarizing their strengths and weaknesses and then advocating for a sophisticated security framework that would guarantee data protection in cloud environments. In fact, previous research has shown that different security risks exist in the cloud computing environment that can originate from various entities and activities. Therefore, different solutions have been created to tackle each of these unique concerns. The virtual machines of the clients should there-fore be effectively monitored and guarded by cloud providers through the use of a standardized cloud security platform.

Authors

Institutions

Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1109/icscna63714.2024.10864156
Citations
1
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Comprehensive Survey on Strategies for Enhancing Cloud Security and Data Protection

Isha Batra, Arun Malik, Swathi Tejah Yalla
1 citations
Network Security and Intrusion Detection
0.35
article

A Comprehensive Survey on Strategies for Enhancing Cloud Security and Data Protection

Isha Batra, Arun Malik, Swathi Tejah Yalla
article en
1 citations

Abstract

In this survey paper, the critical security and privacy issues in cloud computing are taken into consideration, and made use of improving data security measures and confidences concerning sensitive information against potential threats from both outside attackers and cloud providers toward bracing the serious barriers to the widespread adoption of cloud technology. It applies ontological approaches toward an overall security assurance model with the help of ontology-based approaches to facilitate improved data protection along with compliance verification. The key advantages of the new security protocols and methodologies developed under this proposed framework allow customers to maintain control over their information and to validly verify safety measures. This framework will address one of the fastest growing needs for improving data security in the cloud, encouraging further trust and facilitating wider acceptance of cloud services. This survey provides a comprehensive analysis of the current ontologybased security solutions, summarizing their strengths and weaknesses and then advocating for a sophisticated security framework that would guarantee data protection in cloud environments. In fact, previous research has shown that different security risks exist in the cloud computing environment that can originate from various entities and activities. Therefore, different solutions have been created to tackle each of these unique concerns. The virtual machines of the clients should there-fore be effectively monitored and guarded by cloud providers through the use of a standardized cloud security platform.

Lovely Professional University (IN)
Openalex Percentile: Top 34%
Network Security and Intrusion Detection
0.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Comprehensive Survey on Strategies for Enhancing Cloud Security and Data Protection — Isha Batra, Arun Malik, et al. · (2024) | TGRS Research Map | TGRS