Volume 10 | Issue 1 | March 2025

 Your Paper Publication Details:

 Abstract

Data sharing is an essential aspect of modern digital applications, including healthcare, finance, cloud computing, and artificial intelligence. However, maintaining privacy and security during data exchanges presents significant challenges, especially with increasing concerns about data breaches and regulatory compliance. Homomorphic Encryption (HE) has emerged as a revolutionary cryptographic technique that allows computations to be performed on encrypted data without decryption, ensuring confidentiality throughout the processing phase. This review paper provides a comprehensive analysis of various HE schemes, including partially, somewhat, and fully homomorphic encryption. We discuss their applications in different domains, evaluate their security implications, and examine the computational challenges associated with their implementation. Additionally, we explore optimization strategies such as bootstrapping improvements, hybrid cryptographic models, and hardware acceleration techniques that aim to enhance HE’s practicality. Real-world use cases in secure cloud computing, privacy-preserving machine learning, and secure multiparty computations are also discussed. Finally, we outline the challenges, potential solutions, and future research directions that will drive advancements in HE technology for secure and efficient data sharing.

 Keywords

Privacy-preserving, Homomorphic Encryption, Secure Data Sharing, Cloud Computing, Cryptography, Fully Homomorphic Encryption (FHE), Partially Homomorphic Encryption (PHE), Data Security.

 Authors and Affiliations

Akanksha Jain
M.Tech. Scholar, Department of Computer Science & Engineering, Eklavya University, Damoh, Madhya Pradesh, India
Monika Thakur
M.Tech. Scholar, Department of Computer Science & Engineering, Eklavya University, Damoh, Madhya Pradesh, India
Saleha Khan
M.Tech. Scholar, Department of Computer Science & Engineering, Eklavya University, Damoh, Madhya Pradesh, India
Dr. Prashant Sen
Associate professor & Head, Department of Computer Science & Engineering, Eklavya University, Damoh, Madhya Pradesh, India

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Creative Commons Attribution 4.0 and The Open Definition

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