Efficient and Secure Blockchain-Based Access Control for Fog-Assisted IoT Cloud in Electronic Medical Records Sharing

Main Article Content

Nidhi Ranjan, Balasaheb Balkhande, Madhuri Ghuge, Bhawana S. Dakhare, Bhawna Ruchi Singh, Anuradha Shukla

Abstract

Fog-assisted IoT Cloud environments have emerged as a result of the rapid spread of Internet of Things (IoT) devices and the requirement for seamless data sharing in the healthcare industry. The effective and safe management of access control to sensitive data, such as Electronic Medical Records (EMRs), becomes crucial in such configurations. The Efficient and Secure Blockchain-Based Access Control (ESBAC) framework, designed specifically for Fog-assisted IoT Cloud scenarios in EMR sharing, is our creative approach to this problem. The ESBAC architecture makes use of the blockchain's openness and immutability to provide reliable access control and auditability. The implementation of a consortium blockchain includes participants including healthcare providers, patients, and authorised entities. Each EMR has a smart contract attached to it that specifies access restrictions and permissions to make sure that only authorised parties are able to access and edit the data. Because of the decentralisation provided by the blockchain, security and privacy are improved because no single party has overwhelming control. Proposed framework uses attribute-based access control and lightweight encryption methods to provide a fair trade-off between security and efficiency. As a result, there can be fine-grained access control policies with the least amount of computing overhead. Comprehensive simulations are used to evaluate the suggested solution and compare it to current methods. The outcomes show that ESBAC improves security in EMR sharing and greatly lowers access latency.

Article Details

Section
Articles
Author Biography

Nidhi Ranjan, Balasaheb Balkhande, Madhuri Ghuge, Bhawana S. Dakhare, Bhawna Ruchi Singh, Anuradha Shukla

[1]Dr. Nidhi Ranjan

2Dr. Balasaheb Balkhande

3Madhuri Ghuge

4Bhawana S. Dakhare

5Dr. Bhawna Ruchi Singh

6Dr. Anuradha Shukla

 

 

[1] Associate Professor, Vasantdada Patil Pratishthan's College of Engineering & Visual Arts, Mumbai

Mumbai University, Maharashtra, India

2Associate Professor, Vasantdada Patil Pratishthan's College of Engineering & Visual Arts, Mumbai

Mumbai University, Maharashtra, India

3Assistant Professor, Bharati Vidyapeeth college of Engineering, Navi Mumbai, Mumbai University, Maharashtra, India.

4Assistant Professor, Bharati Vidyapeeth college of Engineering, Navi Mumbai, Mumbai University, Maharashtra, India

5Department of Applied Science, Bharati Vidyapeeth college of Engineering Navi mumbai, Maharashtra, India

6Narsee Monjee Institute of Management Studies, Navi Mumbai, Maharashtra, India

nidhipranjan@gmail.com1, balkhandeakshay@gmail.com2, madhurighuge27@gmail.com3, bhawanadakhare@gmail.com4, bhawnasingh77@gmail.com5, anuradha.shukla@nmims.edu6

 

References

A. Saini, Q. Zhu, N. Singh, Y. Xiang, L. Gao, and Y. Zhang, ‘‘A smart-contract-based access control framework for cloud smart healthcare system,’’ IEEE Internet Things J., vol. 8, no. 7, pp. 5914–5925, Apr. 2021, doi: 10.1109/JIOT.2020.3032997.

J. Liu, X. Li, L. Ye, H. Zhang, X. Du, and M. Guizani, ‘‘BPDS: A blockchain based privacy-preserving data sharing for electronic medical records,’’ in Proc. IEEE Global Commun. Conf. (GLOBECOM), Dec. 2018, pp. 1–6, doi: 10.1109/GLOCOM.2018.8647713.

A. AlMamun, F. Jahangir, M. Umor, S. Azam, M. S. Kaiser, and A. Karim, ‘‘A combined framework of interplanetary file system and blockchain to securely manage electronic medical records,’’ in Proc. Int. Conf. Trends Comput. Cogn. Eng. Singapore: Springer, 2021, pp. 501–511

J. Zhang, Y. Yang, X. Liu, and J. Ma, ‘‘An efficient blockchainbased hierarchical data sharing for healthcare Internet of Things,’’ IEEE Trans. Ind. Informat., vol. 18, no. 10, pp. 7139–7150, Oct. 2022, doi: 10.1109/TII.2022.3145851.

S. Fugkeaw, L. Wirz, and L. Hak, ‘‘An efficient medical records access control with auditable outsourced encryption and decryption,’’ in Proc. 15th Int. Conf. Knowl. Smart Technol. (KST), Feb. 2023, pp. 1–6, doi: 10.1109/KST57286.2023.10086904

S. Alshehri, O. Bamasaq, D. Alghazzawi, and A. Jamjoom, ‘‘Dynamic secure access control and data sharing through trusted delegation and revocation in a blockchain-enabled cloud-IoT environment,’’ IEEE Internet Things J., vol. 10, no. 5, pp. 4239–4256, Mar. 2023, doi: 10.1109/JIOT.2022.3217087.

O. Cheikhrouhou, K. Mershad, F. Jamil, R. Mahmud, A. Koubaa, and S. R. Moosavi, ‘‘A lightweight blockchain and fog-enabled secure remote patient monitoring system,’’ Internet Things, vol. 22, Jul. 2023, Art. no. 100691.

S. Rahmadika, P. V. Astillo, G. Choudhary, D. G. Duguma, V. Sharma, and I. You, ‘‘Blockchain-based privacy preservation scheme for misbehavior detection in lightweight IoMT devices,’’ IEEE J. Biomed. Health Informat., vol. 27, no. 2, pp. 710–721, Feb. 2023, doi: 10.1109/JBHI.2022.3187037.

F. Daidone, B. Carminati, and E. Ferrari, ‘‘Blockchain-based privacy enforcement in the IoT domain,’’ IEEE Trans. Depend. Secure Comput., vol. 19, no. 6, pp. 3887–3898, Nov. 2022, doi: 10.1109/TDSC. 2021.3110181

Dataset used: https://archive.ics.uci.edu/dataset/46/hepatitis

Abedi, M.; Pourkiani, M. Resource Allocation in Combined Fog-Cloud Scenarios by Using Artificial Intelligence. In Proceedings of the 2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC), Paris, France, 20–23 April 2020; pp. 218–222.

Winnie, Y.; Umamaheswari, E.; Ajay, D. Enhancing Data Security in IoT Healthcare Services Using Fog Computing. In Proceedings of the 2018 International Conference on Recent Trends in Advance Computing (ICRTAC), Chennai, India, 10–11 September 2018; pp. 200–205.

Elie, E. Keynote speech 3: Intel Optane™ technology as differentiator for Internet of everything and fog computing. In Proceedings of the 2018 Third International Conference on Fog and Mobile Edge Computing (FMEC), Barcelona, Spain, 23–26 April 2018; p. 3.]

Mittal, M.; Saraswat, L.K.; Iwendi, C.; Anajemba, J.H. A Neuro-Fuzzy Approach for Intrusion Detection in Energy Efficient Sensor Routing. In Proceedings of the 2019 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU), Ghaziabad, India, 18–19 April 2019; pp. 1–5.

Zhang, Z.; Wang, F.; Zhong, C.; Ma, H. Grid Terminal Data Security Management Mechanism Based On Master-Slave Blockchain. In Proceedings of the 2020 5th International Conference on Computer and Communication Systems (ICCCS), Shanghai, China, 15–18 May 2020; pp. 67–70.

Khetani, V. ., Gandhi, Y. ., Bhattacharya, S. ., Ajani, S. N. ., & Limkar, S. . (2023). Cross-Domain Analysis of ML and DL: Evaluating their Impact in Diverse Domains. International Journal of Intelligent Systems and Applications in Engineering, 11(7s), 253–262. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2951

Tuli, S.; Mahmud, R.; Tuli, S.; Buyya, R. Fogbus: A blockchain-based lightweight framework for edge and fog computing. J. Syst. Softw. 2019, 154, 22–36.

Narula, S.; Jain, A. February Cloud computing security: Amazon web service. In Proceedings of the 2015 Fifth International Conference on Advanced Computing & Communication Technologies, Rohtak, India, 21–22 February 2015; pp. 501–505.