Electronic Health Record Sharing in Cloud Computing with Privacy and Security Preservation Using Blockchain Technology

Authors

  • Divya Singh Assistant Professor, Electronics and Communication Engineering, GLA University, Mathura, India
  • D. Nagaraju Professor, Department of CSE, Sri Venkatesa Perumal College of Engineering and Technology, Puttur, Andhra Pradesh, India
  • B. Rama Mohan Department of CSE Hyderabad Institute of Technology and Management, Hyderabad
  • Sathish Bojjawar Associate Professor, EIE Dept,CVR College of Engineering
  • Sreedhar Burada Assistant Professor, Dept. of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur Dist., Andhra Pradesh - 522502, India
  • Solleti Phani Kumar Assistant Professor, Dept.of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur Dist., Andhra Pradesh - 522502, India
  • Ravi Kumar Associate Professor, Department of ECE, Jaypee University of Engineering and Technology, Guna - 473226
  • R. Sundar Assistant Professor, Computer science and Engineering, Madanapalle Institute of Technology & Science.Ap.

Keywords:

security protocols, Cryptographic Blockchain, public cloud system, encryption time, decryption time

Abstract

Nowadays, electronic health records are an important system in cloud computing technology. Different types of algorithms are fostered various components by means of image based encryption for medical care applications. Although more security protocols were created among them without a doubt, not many procedures were proficient and hearty for the speedy recovery of reports from the cloud yet numerous conventions endure by reason of less security, privacy, and respectability. Existing techniques depended on encrypting the record in view of the key generation centre. To overcome the security issues a novel optimized Whale based Cryptographic Blockchain (WBCB) technique is proposed. Moreover, public cloud system is utilized to develop the technique efficiently. Here, the MATLAB platform is used for the implementation process. Furthermore, the developed technique is compared with conventional techniques such as encryption time, decryption time, etc. 

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References

Mansour, Romany Fouad, et al. "Artificial Intelligence and Internet of Things Enabled Disease Diagnosis Model for Smart Healthcare Systems." IEEE Access 9 (2021): 45137-45146.

Anuradha, M., et al. "IoT enabled cancer prediction system to enhance the authentication and security using cloud computing." Microprocessors and Microsystems 80 (2021): 103301.

Sharma, Dilip Kumar, et al. "The aspect of vast data management problem in healthcare sector and implementation of cloud computing technique." Materials Today: Proceedings (2021).

Yang, Zheming, Bing Liang, and Wen Ji. "An Intelligent end-edge-cloud architecture for visual iot assisted healthcare systems." IEEE Internet of Things Journal (2021).

Dhasarathan, Chandramohan, et al. "A bio-inspired privacy-preserving framework for healthcare systems." The Journal of Supercomputing (2021): 1-36.

Dutta, Arijit, et al. "Enhancing mist assisted cloud computing toward secure and scalable architecture for smart healthcare." Advances in Communication and Computational Technology. Springer, Singapore, 2021. 1515-1526.

Denis, R., and P. Madhubala. "Hybrid data encryption model integrating multi-objective adaptive genetic algorithm for secure medical data communication over cloud-based healthcare systems." Multimedia Tools and Applications 80.14 (2021): 21165-21202.

Dutta, Arijit, et al. "Enhancing mist assisted cloud computing toward secure and scalable architecture for smart healthcare." Advances in Communication and Computational Technology. Springer, Singapore, 2021. 1515-1526.

Vyas, S., & Bhargava, D. (2021). Scalable Smart Health Systems. In Smart Health Systems (pp. 49-59). Springer, Singapore.

Hensh, Falguni, Mayank Gupta, and Manisha J. Nene. "Mist-Edge-Cloud (MEC) Computing: An Integrated Computing Architecture." 2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC). IEEE, 2021.

Das, Jaydeep, Soumya K. Ghosh, and RajkumarBuyya. "Geospatial Edge-Fog Computing: A Systematic Review, Taxonomy, and Future Directions." Mobile Edge Computing (2021): 47-69.

Saha, L., Tripathy, H. K., &Sahoo, L. (2021). Business Intelligence Influenced Customer Relationship Management in Telecommunication Industry and Its Security Challenges. Privacy and Security Issues in Big Data: An Analytical View on Business Intelligence, 175-188.

Viloria, Amelec, et al. "Design of a network with sensor-cloud technology applied to traffic accident prevention." Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications. Springer, Singapore, 2021.

Abdul Haseeb-ur-rehman, Rana M., et al. "Sensor Cloud Frameworks: State-of-the-Art, Taxonomy, and Research Issues." IEEE Sensors Journal (2021).

Hong, Hanshu, and Zhixin Sun. "A flexible attribute based data access management scheme for sensor-cloud system." Journal of Systems Architecture 119 (2021): 102234.

Muhammad, G., Alshehri, F., Karray, F., El Saddik, A., Alsulaiman, M., & Falk, T. H. (2021). A comprehensive survey on multimodal medical signals fusion for smart healthcare systems. Information Fusion, 76, 355-375.

Chowhan, Biky, Rashmi Mandal, and Pawan Kumar Sharma. "DengueCBC: Dengue EHR Transmission Using Secure Consortium Blockchain-Enabled Platform." Data Management, Analytics and Innovation. Springer, Singapore, 2021. 87-106.

Huang, Haiping, et al. "Blockchain-based eHealth system for auditable EHRs manipulation in cloud environments." Journal of Parallel and Distributed Computing 148 (2021): 46-57.

Nagarajan, Sivakumar. "Flexible Access Control Mechanism for Cloud stored EHR using Consortium Blockchain." (2021).

Gupta, Brij B., et al. "Blockchain-assisted secure fine-grained searchable encryption for a cloud-based healthcare cyber-physical system." IEEE/CAA Journal of AutomaticaSinica (2021).

Shamshad, Salman, et al. "A secure blockchain-based e-health records storage and sharing scheme." Journal of Information Security and Applications 55 (2020): 102590.

Nagasubramanian, G., Sakthivel, R.K., Patan, R. et al. Securing e-health records using keyless signature infrastructure blockchain technology in the cloud. Neural Comput&Applic32, 639–647 (2020).

Wang, Yong, et al. "Cloud-assisted EHR sharing with security and privacy preservation via consortium blockchain." IEEE Access 7 (2019): 136704-136719.

Mishra, Rahul, et al. "DS-Chain: A secure and auditable multi-cloud assisted EHR storage model on efficient deletableblockchain." Journal of Industrial Information Integration (2022): 100315.

Alrebdi, N., Alabdulatif, A., Iwendi, C. et al. SVBE: searchable and verifiable blockchain-based electronic medical records system. Sci Rep12, 266 (2022). https://doi.org/10.1038/s41598-021-04124-8

Zutshi, Aneesh, Antonio Grilo, and TaherehNodehi. "The value proposition of blockchain technologies and its impact on Digital Platforms." Computers & Industrial Engineering 155 (2021): 107187.

Alfa, Abraham Ayegba, et al. "Blockchain technology in IoT systems: current trends, methodology, problems, applications, and future directions." Journal of Reliable Intelligent Environments 7.2 (2021): 115-143.

Banerji, Diptiman, et al. "Application potential of Blockchain technologies in the travel and tourism industry." Blockchain Applications in IoT Ecosystem. Springer, Cham, 2021. 289-299.

Kotamraju, Siva Kumar, et al. "Implementation patterns of secured internet of things environment using advanced blockchain technologies." Materials Today: Proceedings (2021).

Mahbub, Mobasshir. "Blockchain Technologies for Securing IoT Infrastructure: IoT-Blockchain Architectonics." Blockchain Applications in IoT Ecosystem. Springer, Cham, 2021. 187-202.

Kuznetsov, Alexandr, et al. "Performance Analysis of Cryptographic Hash Functions Suitable for Use in Blockchain." International Journal of Computer Network & Information Security 13.2 (2021).

Jayaraman, Indumathi, and Amala Stanislaus Panneerselvam. "A novel privacy preserving digital forensic readiness provable data possession technique for health care data in cloud." Journal of Ambient Intelligence and Humanized Computing 12.5 (2021): 4911-4924.

Zhou, Lei, et al. "Multicopy provable data possession scheme supporting data dynamics for cloud-based Electronic Medical Record system." Information Sciences 545 (2021): 254-276.

Dr. V. Arthi. (2020). A Novel Channel Estimation Technique in MIMO-OFDM Mobile Communication Systems. International Journal of New Practices in Management and Engineering, 9(02), 08 - 14. https://doi.org/10.17762/ijnpme.v9i02.84

hukla, A., Juneja, V., Singh, S., Prajapati, U., Gupta, A., & Dhabliya, D. (2022). Role of hybrid optimization in improving performance of sentiment classification system. Paper presented at the PDGC 2022 - 2022 7th International Conference on Parallel, Distributed and Grid Computing, 541-546. doi:10.1109/PDGC56933.2022.10053333 Retrieved from www.scopus.com

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Published

16.08.2023

How to Cite

Singh, D. ., Nagaraju, D. ., Mohan, B. R. ., Bojjawar, S. ., Burada, S. ., Kumar, S. P. ., Kumar, R. ., & Sundar, R. . (2023). Electronic Health Record Sharing in Cloud Computing with Privacy and Security Preservation Using Blockchain Technology. International Journal of Intelligent Systems and Applications in Engineering, 11(10s), 407–422. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3295

Issue

Vol. 11 No. 10s (2023)

Section

Research Article

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