Published in International Journal of Advanced Research in Computer Networking,Wireless and Mobile Communications
ISSN: 2320-7248 Impact Factor:1.8 Volume:5 Issue:3 Year: 21 April,2025 Pages:268-272
The broad acknowledgment cloud-based administrations in the medicinal services area has brought about financially savvy and helpful trade of Personal Health Records (PHRs) among a few taking an interest elements of the e-Health frameworks. By the by, putting away the secret wellbeing data to cloud servers is helpless to disclosure or robbery and requires the improvement of philosophies that guarantee the protection of the PHRs. Along these lines, we propose a system called SeSPHR for secure sharing of the PHRs in the cloud. The SeSPHR plot guarantees understanding driven control on the PHRs and jam the secrecy of the PHRs. The patients store the scrambled PHRs on the un-confided in cloud servers and specifically concede access to various sorts of clients on various bits of the PHRs. A semi-confided in intermediary called Setup and Re-encryption Server (SRS) is acquainted with set up people in general/private key combines and to create the re-encryption keys. Besides, the technique is secure against insider dangers and furthermore implements a forward and in reverse access control. Besides, we formally dissect and confirm the working of SeSPHR philosophy through the High-Level Petri Nets (HLPN).
Cloud Computing, Personal Health Records (PHRs), Privacy, Security, SeSPHR, Encryption, Access Control, Re-encryption, Insider Threats, e-Health Systems, HLPN.
[1] Antonio Lopez Martinez, Manuel Gil Perez, and Antonio Ruiz-Martinez, “A Comprehensive Model for Securing Sensitive Patient Data in a Clinical Scenario,” VOLUME 11, September 2023. [2] Hua Shen, “Enhancing Diagnosis Prediction in Healthcare with Knowledge-Based Recurrent Neural Networks.,” VOLUME 11, September 2023. [3] Vishwa Amitkumar Patel, Pronaya Bhattacharya , Sudeep Tanwar , Rajesh Gupta , Gulshan Sharma , Pitshou N. Bokoro and Ravi Sharma “Adoption of Federated Learning for Healthcare Informatics: Emerging Applications and Future Directions” VOLUME 10, September 2022. [4] Abdullah Al Mamun, Sami Azam and Clementine Gritti.,“Blockchain-Based Electronic Health Records Management: A Comprehensive Review and Future Research Direction.” VOLUME 10, January 18 2022. [5] Alaa Haddad, Mohamed Hadi Habaebi, Md. Rafiqul Islam, Nurul Fadzlin Hasbullah and Suriza Ahmad Zabidi., “Systematic Review on AI-Blockchain Based EHealthcare Records Management Systems.,” VOLUME 10, September 2022 [6] P. Bhattacharya, S. Tanwar, U. Bodkhe, S. Tyagi, and N. Kumar, ‘‘BinDaaS, ‘‘Blockchain-based deep-learning as-a-service in healthcare 4.0 applications,’’ IEEE Trans. Netw. Sci. Eng., vol. 8, no. 2, pp. 1242–1255, Apr. 2021. [7] A. Awadabdellatif, L. Samara, A. Mohamed, A. Erbad, C. F. Chiasserini, M. Guizani, M. D. O’Connor, and J. Laughton, ‘‘MEdge-chain: Leveraging edge computing and blockchain for efficient medical data exchange,’’ IEEE Internet Things J., vol. 8, no. 21, pp. 15762–15775, Nov. 2021. [8] X. Yang, T. Li, W. Xi, A. Chen, and C. Wang, ‘‘A blockchain-assisted verifiable outsourced attribute-based signecryption scheme for EHRs sharing in the cloud,’’ IEEE Access, vol. 8, pp. 170713–170731, 2020. [9] V. Jaiman and V. Urovi, ‘‘A consent model for blockchain-based health data sharing platforms,’’ IEEE Access, vol. 8, pp. 143734–143745, 2020. [10] S.Cao, J. Wang, X. Du,X. Zhang, and X. Qin, ‘‘CEPS: A crossblockchain based electronic health records privacy-preserving scheme,’’ in Proc. IEEE Int. Conf. Commun. (ICC), Jun. 2020, pp. 1–6.