Cloud Data Encryption
Abstract & Details
Research Area
Computer Engineering
Keywords
Cloud Computing
Data Security
Data Encryption
ConfidentialitySymmetric and Asymmetric encryption
Hashing Algorithms
Abstract
The swift migration to cloud computing has revolutionized data management, granting businesses unprecedented flexibility and scalability. However, this increased dependence on cloud infrastructure also brings a heightened threat of data vulnerability. As more confidential information is transferred to the cloud, the likelihood of security lapses escalates dramatically. To counter this risk, data encryption has become a vital safeguard. By scrambling data into an unreadable format, organizations can effectively shield sensitive information from unauthorized access, thereby preventing data exfiltration and mitigating the risks inherent to cloud computing. This research seeks to provide an exhaustive examination of the various encryption approaches used to protect cloud-based data, offering practical guidance on the most effective techniques for ensuring data confidentiality in cloud environments. The paper begins by presenting an overview of cloud computing and its critical security challenges. Subsequently, it delves into the fundamentals of encryption, including symmetric encryption, asymmetric encryption, and hashing algorithms. Each encryption method's strengths, weaknesses, and use cases in the context of cloud data confidentiality are discussed. Furthermore, the paper explores modern encryption paradigms like homomorphic, searchable, and fully homomorphic encryption. These cutting-edge techniques enable secure computation and data retrieval on encrypted data, opening new possibilities for privacy-preserving cloud-based applications. The research also addresses key management and distribution issues in cloud environments. Various key management schemes are evaluated, focusing on their effectiveness in maintaining the confidentiality of encryption keys while allowing efficient data access and sharing. Additionally, the paper investigates the impact of post-quantum cryptography on cloud data confidentiality. As quantum computing advancements pose a threat to traditional encryption algorithms, the need to explore quantum-resistant techniques becomes evident. Finally, the research discusses potential side-channel attacks that may compromise cloud data confidentiality. Countermeasures and mitigation strategies to bolster the security of encryption algorithms against such attacks are examined.
License
This work is licensed under a Creative
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Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Arpitha.K | CMR UNIVERSITY |
| 2 | Sethupathi T.R | CMR UNIVERSITY |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Arpitha.K & T.R, Sethupathi (2024). Cloud Data Encryption. International Journal of Advance Research and Innovative Ideas In Education, 10(4), 346-350.
MLA Style
Arpitha.K, and Sethupathi T.R. "Cloud Data Encryption." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 4, 2024, pp. 346-350.
IEEE Style
Arpitha.K and Sethupathi T.R, "Cloud Data Encryption," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 4, pp. 346-350, 2024.
Vancouver Style
Arpitha.K, T.R Sethupathi. Cloud Data Encryption. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(4):346-350.
Harvard Style
Arpitha.K & T.R, Sethupathi (2024) 'Cloud Data Encryption', International Journal of Advance Research and Innovative Ideas In Education, 10(4), pp. 346-350.
Chicago Style
Arpitha.K and Sethupathi T.R. "Cloud Data Encryption." International Journal of Advance Research and Innovative Ideas In Education 10, no. 4 (2024): 346-350.
Turabian Style
Arpitha.K and Sethupathi T.R. "Cloud Data Encryption." International Journal of Advance Research and Innovative Ideas In Education 10, no. 4 (2024): 346-350.
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