Enhancing Trust in Cloud Infrastructures: An In-Depth Examination of Security Protocols and Privacy Mechanisms

Abstract—The rapid rise of IoT and cloud computing has brought growing security and privacy concerns. The Cloud of Things (CoT), which merges cloud computing with IoT, enables efficient data storage and processing but also introduces new vulnerabilities. However, because of shared computing resources, this integration creates vulnerabilities like data breaches, privacy issues, and unauthorized access. This study examines security threats in cloud computing and CoT systems, closely examines these problems, and evaluates the impact they have on user confidence and data integrity. It also discusses effective mitigation strategies and privacy-preserving solutions to enhance the security of cloud-based systems. By looking at present infrastructures, applications, and forthcoming developments, this study provides helpful insights for academics and practitioners navigating the evolving cloud environment. Safety concerns become more serious as CoT grows, and traditional methods find it difficult to maintain dynamic, multi-tenant circumstances. Risks are increased by massive information flows and shared resources, requiring strong encryption, anomaly detection, and authentication. Safeguarding user data requires following to laws like the CCPA and GDPR. Blockchain, AI-powered threat detection, and zero-trust models are examples of emerging technologies that provide powerful solutions that improve security, trust, and the smooth implementation of CoT across sectors.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-15
DOI
https://doi.org/10.5281/zenodo.15422708
Primary Topic
Fiber-reinforced polymer composites
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing Trust in Cloud Infrastructures: An In-Depth Examination of Security Protocols and Privacy Mechanisms

Zenodo (CERN European Organization for Nuclear Research)
Fiber-reinforced polymer composites
article

Enhancing Trust in Cloud Infrastructures: An In-Depth Examination of Security Protocols and Privacy Mechanisms

article en

Abstract

Abstract—The rapid rise of IoT and cloud computing has brought growing security and privacy concerns. The Cloud of Things (CoT), which merges cloud computing with IoT, enables efficient data storage and processing but also introduces new vulnerabilities. However, because of shared computing resources, this integration creates vulnerabilities like data breaches, privacy issues, and unauthorized access. This study examines security threats in cloud computing and CoT systems, closely examines these problems, and evaluates the impact they have on user confidence and data integrity. It also discusses effective mitigation strategies and privacy-preserving solutions to enhance the security of cloud-based systems. By looking at present infrastructures, applications, and forthcoming developments, this study provides helpful insights for academics and practitioners navigating the evolving cloud environment. Safety concerns become more serious as CoT grows, and traditional methods find it difficult to maintain dynamic, multi-tenant circumstances. Risks are increased by massive information flows and shared resources, requiring strong encryption, anomaly detection, and authentication. Safeguarding user data requires following to laws like the CCPA and GDPR. Blockchain, AI-powered threat detection, and zero-trust models are examples of emerging technologies that provide powerful solutions that improve security, trust, and the smooth implementation of CoT across sectors.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 54%
Fiber-reinforced polymer composites
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.