Home / Volume 8, Issue 2 / Cloud Data Security with Enhanced Cryptography Open access · CC BY-NC 4.0
Research Paper Volume 8 Issue 2 5840 - 5850 June 12, 2025

Cloud Data Security with Enhanced Cryptography

Lead author · Corresponding
Seema Devi
Phd Scholar at Shri khushal Das University, Hanumangarh, India
Co-author
Dr. Kalpna Midha
Assistant Professor at Shri khushal Das University, Hanumangarh, India
View PDF Full text DOIhttps://doij.org/10.10000/IJLMH.1110653
Abstract

Cloud computing is the outgrowth of ongoing developments in Internet grounded services and the technology assiduity. All pall services need a high- performance pall storehouse room in order to satisfy client demands. still, cloud surroundings' participated residency and natural distributed nature give serious security pitfalls, especially with regard to data vacuity, confidentiality, and integrity. Even though they're abecedarian, traditional cryptographic ways constantly fail to handle the particular complexity of cloud data. In the environment of cloud surroundings, we will explore the fundamentals, uses, and difficulties of bettered cryptographic results similar post-quantum cryptography block chain- grounded security, homomorphic encryption, and trait- grounded encryption. The thing of the study is to present a thorough analysis of the state- of- the- art and implicit future paths in cloud data security using advanced cryptographic ways. We will delve into the principles, applications, and challenges of enhanced cryptographic solutions such as Homomorphic Encryption, Attribute-Based Encryption, Block chain-based security, and Post-Quantum Cryptography in the context of cloud environments. The paper aims to provide a comprehensive overview of the current state-of-the-art and future directions in securing cloud data with sophisticated cryptographic mechanisms.

Type
Research Paper
Information
International Journal of Law Management and Humanities, Volume 8, Issue 2, Page 5840 - 5850
DOI: https://doij.org/10.10000/IJLMH.1110653
Creative Commons
CC BY-NC 4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
Copyright
Copyright © IJLMH 2026
Disclaimer
The views and opinions expressed in this manuscript are those of the author(s) alone and do not reflect the views, policies, or position of the Journal.

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