International Journal on Science and Technology

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Designing Secure and High-Performance Cloud Systems for Proprietary Data Protection

Author(s) Praveen Kodakandla
Country India
Abstract Since more organizations are using cloud systems for their confidential information, there is greater emphasis on how to combine strong security and great efficiency. This work introduces a detailed plan for developing safe and powerful cloud systems aimed at protecting all data in-house. A review of the literature allowed this study to track how Zero Trust security and AES encryption have evolved along with questions about load balancing and scalability in the cloud. A system is suggested that makes use of multiple security methods, constant observation, and flexible encryption plans, and also considers the effects of these options on performance metrics. Technologies that focus on security need not slow down a system if they are included right from the beginning as part of the system’s structure. During these discussions, cost concerns, the technology’s difficulty, how people respond to it, and both ethics and standard rules for data protection like GDPR and HIPAA are mentioned. The final part of the document suggests several paths for future research, for example, including AI in security analysis, studying quantum-safe cryptography, and utilizing edge computing. To conclude, this research stresses the need and possibility of building secure and high-performing cloud systems to protect businesses’ confidential information in the fast-changing digital world.
Field Engineering
Published In Volume 13, Issue 2, April-June 2022
Published On 2022-06-08
DOI https://doi.org/10.71097/IJSAT.v13.i2.6414
Short DOI https://doi.org/g9qtjq
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