JOURNAL ARTICLE

Enhancing Data Security in Cloud Computing through Homomorphic Encryption

Prerna AgarwalPranav Shrivastava

Year: 2021 Journal:   Computology Journal of Applied Computer Science and Intelligent Technologies Vol: 1 (1)Pages: 32-39

Abstract

Cloud computing has revolutionized the way data is stored and processed, offering unparalleled flexibility and scalability. However, it also raises significant concerns about data security and privacy. This research paper explores the role of homomorphic encryption in enhancing data security in cloud computing. Homomorphic encryption is a promising cryptographic technique that allows computations to be performed on encrypted data without decrypting it, thus preserving data confidentiality. This paper reviews the fundamentals of cloud computing, discusses the challenges associated with data security in the cloud, and delves into the concepts, advantages, and challenges of homomorphic encryption. It also examines real-world use cases, applications, and recent advancements in homomorphic encryption. The research concludes that homomorphic encryption is a powerful tool for enhancing data security in cloud computing and offers recommendations for its adoption and implementation.

Keywords:
Homomorphic encryption Cloud computing Computer science Encryption Client-side encryption Computer security Cryptography Cloud computing security Data security Scalability Flexibility (engineering) Confidentiality On-the-fly encryption Database Operating system Mathematics

Metrics

8
Cited By
0.85
FWCI (Field Weighted Citation Impact)
20
Refs
0.79
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cryptography and Data Security
Physical Sciences →  Computer Science →  Artificial Intelligence
Cloud Data Security Solutions
Physical Sciences →  Computer Science →  Information Systems
Privacy-Preserving Technologies in Data
Physical Sciences →  Computer Science →  Artificial Intelligence

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