Securing Data in Cloud
Abstract & Details
Research Area
Computer Engineering
Keywords
Cloud Computing
Data Encryption
Cryptography
Information Security
Symmetric Encryption
Asymmetric Encryption
Homomorphic Encryption
Key Management
Data Privacy
Regulatory Compliance
Secure Data Transmission
Client-Side
Encryption
Server-Side Encryption .
Abstract
As cloud computing continues to grow rapidly, the need to secure data stored and managed
within cloud environments has become more urgent. One of the most effective strategies to
protect this data is encryption, which plays a crucial role in preventing unauthorized access.
Encryption transforms readable data into an encoded form that can only be accessed by those
with the correct decryption key, ensuring its confidentiality during both storage and
transmission. Encrypting data in the cloud helps maintain user privacy and also supports
compliance with regulatory standards such as GDPR, HIPAA, and ISO certifications. There
are several encryption methods in use, including symmetric, asymmetric, and homomorphic
encryption, each offering different strengths in terms of security and efficiency. Additionally,
encryption can be applied in multiple ways—on the client side, on the server side, or while the
data is in transit—depending on the specific requirements of the system and data flow.
However, implementing encryption in cloud systems also comes with certain challenges. These
include the secure handling of encryption keys, increased processing times, potential
performance trade-offs, and complexity in multi-tenant cloud infrastructures. To overcome
these issues, modern approaches such as hardware security modules (HSMs), zero-knowledge
proofs, and quantum-resistant encryption techniques are being developed and tested. This work
seeks to explore the full landscape of encryption technologies used in cloud computing. It
analyzes their real-world applications, limitations, and the innovations that are shaping the
future of secure data management in decentralized and dynamic cloud-based systems.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Jeevith M | CMR University |
How to Cite
Use the following formats to cite this article in your research.
APA Style
M, Jeevith (2025). Securing Data in Cloud. International Journal of Advance Research and Innovative Ideas In Education, 11(4), 140-145.
MLA Style
M, Jeevith. "Securing Data in Cloud." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 4, 2025, pp. 140-145.
IEEE Style
Jeevith M, "Securing Data in Cloud," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 4, pp. 140-145, 2025.
Vancouver Style
M Jeevith. Securing Data in Cloud. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(4):140-145.
Harvard Style
M, Jeevith (2025) 'Securing Data in Cloud', International Journal of Advance Research and Innovative Ideas In Education, 11(4), pp. 140-145.
Chicago Style
M, Jeevith. "Securing Data in Cloud." International Journal of Advance Research and Innovative Ideas In Education 11, no. 4 (2025): 140-145.
Turabian Style
M, Jeevith. "Securing Data in Cloud." International Journal of Advance Research and Innovative Ideas In Education 11, no. 4 (2025): 140-145.
Related Research
Comprehensive Review of Existing Chatbot Systems for Career Assistance, Resume Support, and ATS-Aware Guidance
PDF Unavailable
Development of an AI-Powered Multimodal Web Assistant with Intelligent Resume Building and ATS Enhancement
PDF Unavailable
A Deep Learning-Based Framework for Mood-Oriented Music Recommendation Using Facial Expression Analysis
PDF Unavailable
Survey On : Intelligent Payroll and Human Resource Management Systems: A Systematic Review of Automation, Security, and Analytics
PDF Unavailable
Civic Engagement & Empowerment Platform
PDF Unavailable
Recent Developments in Microneedle Technology and Its Diverse Biomedical Applications
PDF Unavailable
RAG System Development with Pydantic AI ChromaDB & Groq
PDF Unavailable
Machine Learning Based Early Stage Diabetes Detection System
PDF Unavailable
A Survey on Skillsense:AI Career Analyzer App
PDF Unavailable
Employee Performance Portal
PDF Unavailable