A Comprehensive Study of Traditional and Deep-learning Schemes for Privacy and Data Security in the Cloud | ||
| AL-Rafidain Journal of Computer Sciences and Mathematics | ||
| Article 5, Volume 16, Issue 2, December 2022, Pages 35-24 PDF (747.22 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/csmj.2022.176588 | ||
| Authors | ||
| mohammed Fawzy sheet* ; Melad jader saeed | ||
| College of Computer Science and Mathematics University of Mosul, Iraq | ||
| Abstract | ||
| After the availability of Internet infrastructure all over the world, and connectivity is no longer an obstacle over the Internet, cloud computing has emerged as a practical and ideal solution. A huge revolution has taken place in the field of cloud computing, where it is now an industry. However, it faces great difficulties in ensuring data confidentiality and privacy. People hesitate to use it due to the risk of innumerable attacks and security breaches. This article has covered a several directions relayed to cloud computing ideas. This research would focus on traditional and deep-learning based schemes to secure user’s data in the cloud. This study concluded some points about the capabilities of the traditional and deep learning-based scheme. The comparison showed that both of them increased the levels of security and privacy of the cloud. The study conclude that the Deep learning-based method had been implanted to secure clouds’ data in combination with other technique performed better than others. | ||
| Keywords | ||
| Cloud computing; Deep learning; biometric; Privacy in cloud computing | ||
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