Abstract:
The increasing role that cloud computing plays in storing e-health data has highlighted the necessity for strong security measures. The purpose of this study is to shed l...Show MoreMetadata
Abstract:
The increasing role that cloud computing plays in storing e-health data has highlighted the necessity for strong security measures. The purpose of this study is to shed light on the difficulties in protecting private health data that is kept on cloud servers. As the first priority, we developed a unique multi-layer security architecture that is cloud-based to protect electronic health data. We provide a complete analysis of the current security protocols, perform a vulnerability assessment, and create a more robust multi-layered security architecture as part of our methodology. The concept includes sophisticated encryption methods, strict access rules, and instruments for ongoing threat detection. In order to assess the effectiveness of the framework, we ran extensive simulations with an emphasis on data integrity, access control, and confidentiality. The findings show a considerable improvement over conventional, one-layer security techniques. The proposed framework guarantees regulatory compliance in addition to providing enhanced security against illegal access and data breaches. We have found that safeguarding electronic health records—which are critical for both patients and healthcare providers—requires a multi-layered security approach built on the cloud. The findings of this study may lead to improved cloud-based healthcare data security in the future.
Published in: 2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI)
Date of Conference: 29-30 December 2023
Date Added to IEEE Xplore: 15 April 2024
ISBN Information: