TARU PUBLICATIONS
Journal of Discrete Mathematical Sciences and Cryptography cover
Open Access ·Peer-reviewed·ISSN (Online): 2169-0065·ISSN (Print): 0972-0529

Monthly Journal: Publishes theoretical and applied research in all areas of Discrete Mathematical Sciences, Cryptography, Combinatorics, Elliptic Curves and Information Security.

Issues up to 2022 co-published with and available at:Taylor & Francis Online
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Open Access Research Article

An advanced cloud based framework for privacy and security in medical data using cryptographic method

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* Corresponding author · click or hover a name for details

pp. 1585–1596Vol. 26Issue 5August 2023DOI: 10.47974/JDMSC-1826 Crossmark XML
Published Online:
09 Sep 2023
Article type:
Research Article
Language:
EN
Article no.:
JDMSC-1826
Pages:
1585–1596

Abstract

The exchange of medical information has been drastically altered by patient-centered developments such as personal health records (PHR). By giving patients a place to handle their own PHR on a unified transactional platform, personal health record (PHR) services increase the efficiency with which medical information may be kept, accessed, and transferred. With the ultimate objective of providing patients with total surveillance under data, our findings is focused on creating a state-of-the-art infrastructure for the safe transfer of personal health data via cloud computing. Patients have the option of encrypting their PHR files, which provides an additional layer of security and allows them to set access control limits such as who has access to their files and to what degree. When data is encrypted in the cloud, only approved users may access it. Using cloud-based platforms to share health records raises concerns over confidentiality and privacy, which are addressed by the proposed method. Patients may still benefit from data interchange for the goal of better healthcare thanks to the framework’s provision of an encrypted PHR file option. This framework may accommodate attribute-based encryption (ABE) and other kinds of granular security. These measures ensure that people may continue to have access to, and make changes to, their own medical data, even when they are stored on the cloud. This article presents research that attempts to meet the demands of patients while also providing a safe method of transferring individual health information through cloud computing.

Keywords

Subject Classifications

Primary 68T07Secondary 68M25

References

[1] Ming Li Member,IEEE,Shucheng Yu, IEEE, Yao Zheng, Student Member, IEEE, KuiRen Senior Member, IEEE, and Wenjing Lou, Senior Member, IEEE,” Scalable and Secure Sharing of Personal Health Records in Cloud Computing using Attribute-based Encryption ,”IEEE TRANSACTION ON PARALLEL AND DISTRIBUTED SYSTEMS VOL. XX,NO. XX,XX 2012. 
[2] M. Li, S. Yu, K. Ren, and W. Lou,” Securing personal health records in cloud computing patient-centric and finegrained dataaccess control in multi-owner settings,” in Secure Comm’ 10, pp. 89-106 (Sept 2010).
[3] S. Yu. C. Wang, K. Ren and W. Lou, “Achieving secure scalable and fine grained data access control in cloud computing , ” in IEEE INFOCOM’10 (2010). 
[4] A. Boldyreva ,V. Goyal, and V. Kumar,” Identity-based encryption with efficient revocation,” in ACM CCS , ser. CCS ’08, pp.417-426 (2008). 
[5] M. Pirretti, P. Traynor, P. McDaniel, and B. Waters, “Secure attribute-based systems” Journal of Computer Security, vol. 18, no 5, pp 799-837 )2010). 
[6] B. Lynn, “The pbc library,”http://crypto.stanford.edu/pbc/. 
[7] Y. Zheng, “Key-policy attribute based encryption scheme implementation,” http://www.cnsr.ictas.vt.edu/resources.html.
[8] J. A. Akinyele, M. W. Panago, M. D. Green et al., “Securing Electronic Medcical Records Using Attribute-Based Encryption on Mobile Devices,” Proc. SPSM’ 11 (Oct. 2011).
[9] S. Alshehri, S, Radziszowski, and R. K. Raj, “Designing a Secure Cloud-Based EHR System using Ciphertext-Policy Attribute-Based Encryption,” Proc.DMC’12, to appear in Nov. 2012.
[10] J. Bethencourt, A. Sahai, and B. Waters, “ Ciphertext-policy attribute-based encryption,” Proc. IEEE Symposium on Security and Privacy, pp. 321-334 (May 2007).
[11] V. Goyal, O. Pandey, A. Sahai, and B. Waters, “Attribute-based Encryption for Fin-grained Access Control of Encrypted Data,” Proc. CCS’06, pp. 89-98 (Nov. 2006).
[12] M. Li, S. Yu, K. Ren, and W. Lou, “Securing personal health records in cloud computing: Patient-centric and fine-grained data access control in multi-owner settings,” Proc. Secure Comm’10, pp. 89-106 (Sept. 2010).
[13] S. Narayan, M. Gaǵen, and R. Safavi-Naini, “Privacy preserving EHR system using attribute-based infrastructure,” Proc. CCSW ‘10, pp. 47-52 (Oct. 2010).
[14] Anil Kumar & Sandeep Kumar Sharma. Information cryptography using cellular automata and digital image processing, Journal of Discrete Mathematical Sciences and Cryptography, 25:4, 1105-1111 (2022), DOI: 10.1080/09720529.2022.2072437
[15] Sapkal, Vinod, Gupta, Praveen & Khan, Aboo Bakar. Deep learning based phishing website identification system using CNN-LSTM classifier, Journal of Information and Optimization Sciences, 44:3, 315–330 (2023), DOI: 10.47974/JIOS-1343.

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