Federated Data Security and Privacy in Cloud-Based Data Systems
Keywords:
federated learning, data privacy, encryption, adversarial attacks, cloud security.Abstract
The emergence of cloud-based systems and federated learning has increased the urgency of theproblem of overtly sensitive data. This paper offers additional protective strategies regardingstronger encryption, more secure access control schemes
References
Aledhari, M., Alazab, M., & Venkatraman, S. (2020). Federated learning: A survey on enabling technologies, protocols, and applications. IEEE Access, 8, 21090–21111. https://doi.org/10.1109/ACCESS.2020.2971919
Abadi, M., Andersen, D., Belapur, N., et al. (2016). Deep learning with differential privacy. Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security, 308–318. https://doi.org/10.1145/2976749.2978399
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Published
2021-12-05
How to Cite
Sai Arundeep Aetukuri. (2021). Federated Data Security and Privacy in Cloud-Based Data Systems. Journal of Computational Analysis and Applications (JoCAAA), 29(6), 1203–1221. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2716
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