AccScience Publishing / IJOSI / Volume 8 / Issue 1 / DOI: 10.6977/IJoSI.202403_8(1).0004
ARTICLE

Enhancing data security in SAP-enabled healthcare systems with cryptography and digital signatures using blockchain technology

Sonali Shwetapadma Rath1* Prabhudev Jagadeesh M P2
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1 Department of Computer Science & EngineeringJSS Academy of Technical EducationBengaluru, Visvesveraya Technological University, Belagavi-590018
2 JSSATE-B Campus, Dr Vishnuvardhan Road,Uttarahalli-Kengeri Main Road, Srinivaspura-Post, Bengaluru-560060
Submitted: 30 September 2023 | Revised: 18 January 2024 | Accepted: 19 January 2024 | Published: 22 February 2024
© 2024 by the Author(s). Licensee AccScience Publishing, USA. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC BY-NC 4.0) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

As the healthcare industry adopts more digital technologies, guaranteeing the security and privacy of sensitive patient data becomes increasingly important. Traditional centralized authentication solutions leave cyber threats and unauthorized access vulnerable. In response, the research demonstrates a novel strategy to improving data security and authentication in a SAP-enabled healthcare system by leveraging encryption and blockchain technol-ogies. The research paper discusses the development and integration of a blockchain-based decentralized identity management system within the SAP platform. Each healthcare entity, including patients, doctors, and administra-tors, is given a distinct digital identity that is protected by using base 64 activity through DocuSign protects in SAP platform. The benefits of the proposed solution are assessed using a complete security analysis that measures data confidentiality, integrity, and availability. A comparison of DocuSign and SignEasy reveals DocuSign's superior performance in timestamp accuracy and document delivery speed. Its precision and reliability ensure document verificationaccuracy, while its streamlined workflow and advanced infrastructure expedite document processing, making it an ideal choice for businesses.

Keywords
SAP platform
Digital signature
Block chain technology
Security
Healthcare system
cyberattacks
References
  1. Kessler, S., Hoff, J. & Freytag, J. C. (2019). SAP HANA goes private: from privacy research to privacy aware enterprise analytics.Proceedings of the VLDB En-dowment,12(12), 1998-2009.
  2. Spanakis, E. G., Bonomi, S., Sfakianakis, S., Santucci, G., Lenti, S., Sorella, M. & Magalini, S. (2020, July). Cyber-attacks and threats for healthcare–a multi-layer thread analysis. In2020 42nd Annual Interna-tional Conference of the IEEE Engineering in Medi-cine & Biology Society (EMBC)IEEE, 5705-5708.
  3. Al Asad, N., Elahi, M. T., Al Hasan, A. & Yousuf, M. A. (2020, November). Permission-based blockchain with proof of authority for secured healthcare data sharing. In2020 2nd International Conference on Advanced Information and Communication Tech-nology (ICAICT), IEEE, 35-40.
  4. Figueiredo, M. (2022). Developing Applications on SAP HANA Cloud. InSAP HANA Cloud in a Nutshell: Design, Develop, and Deploy Data Models using SAP HANA CloudBerkeley, CA: Apress, 103-127.
  5. Treiblmaier, H. & Sillaber, C. (2020). A case study of blockchain-induced digital transformation in the public sector.Blockchain and Distributed ledger technology use cases: Applications and lessons learned, 227-244.
  6. Faccia, A. & Petratos, P. (2021). Blockchain, enterprise resource planning (ERP) and accounting information systems (AIS): Research on e-procurement and sys-tem integration.Applied Sciences,11(15), 6792.
  7. Fernández-Alemán, J. L., Señor, I. C., Lozoya, P. Á. O. & Toval, A. (2013). Security and privacy in elec-tronic health records: A systematic literature re-view.Journal of biomedical informatics,46(3), 541-562.
  8. Chandrasekhar, S., Ibrahim, A. & Singhal, M. (2017). A novel access control protocol using proxy signatures for cloud-based health information exchange.Com-puters & security,67, 73-88.
  9. Al Omar, A., Bhuiyan, M. Z. A., Basu, A., Kiyomoto, S. & Rahman, M. S. (2019). Privacy-friendly platform for healthcare data in cloud based on block chain en-vironment.Future generation computer systems,95, 511-521.
  10. Xu, B., Xu, L. D., Wang, Y. & Cai, H. (2022). A distrib-uted dynamic authorisation method for Internet+ medical & healthcare data access based on consor-tium block chain.Enterprise Information Sys-tems,16(12), 1922757.
  11. Roy, M. & Singh, M. (2021, April). Analytical Study of Block Chain Enabled Security Enhancement Meth-ods for Healthcare Data. InIOP Conference Series: Materials Science and Engineering, IOP Publishing, 1131(1), 012002.
  12. He, Y., Aliyu, A., Evans, M. & Luo, C. (2021). Health care cybersecurity challenges and solutions under the climate of COVID-19: Scoping review.Journal of medical Internet research,23(4), e21747.
  13. Kumar, A., Singh, A. K., Ahmad, I., Kumar Singh, P., Anushree, Verma, P. K. & Tag-Eldin, E. (2022). A novel decentralized blockchain architecture for the preservation of privacy and data security against cyberattacks in healthcare.Sensors,22(15), 5921.
  14. SAP News, Enterprise Threat Detection Cloud [Online]. Available: https://news.sap.com/2021/07/sap-enter-prise-threat-detection-cloudbased-managed-service/
  15. SAP Help, Enterprise Threat Detection Cloud Edition [Online]. Available: https://help.sap.com/docs/SAP_ENTER-PRISE_THREAT_DETECTION_CLOUD_EDI-TION.Jiang, S., Cao, J., McCann, J. A., Yang, Y., Liu, Y., Wang, X. & Deng, Y. (2019, July). Privacy-preserving and efficient multi-keyword search over encrypted data on blockchain. In2019 IEEE international confer-ence on Blockchain (Blockchain), IEEE, 405-410.
  16. Avizheh, S., Nabi, M., Safavi-Naini, R. & Venka-teswarlu K, M. (2019, November). Verifiable com-putation using smart contracts. InProceedings of the 2019 ACM SIGSAC Conference on Cloud Compu-ting Security Workshop, 17-28.
  17. Maddali, L. P., Thakur, M. S. D., Vigneswaran, R., Rajan, M. A., Kanchanapalli, S. & Das, B. (2020, January). VeriBlock: A novel blockchain framework based on verifiable computing and trusted execution environ-ment. In2020 International Conference on COMmu-nication Systems & NETworkS (COMSNETS) IEEE, 1-6.
  18. Jia, B., Zhang, X., Liu, J., Zhang, Y., Huang, K. & Liang, Y. (2021). Block chain-enabled federated learning data protection aggregation scheme with differential privacy and homomorphic encryption in IIoT.IEEE 
    Transactions on Industrial Informatics,18(6), 4049-4058.
  19. Wood, A., Najarian, K., & Kahrobaei, D. (2020). Homo-morphic encryption for machine learning in medi-cine and bioinformatics.ACM Computing Surveys (CSUR),53(4), 1-35.
     
     
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International Journal of Systematic Innovation, Electronic ISSN: 2077-8767 Print ISSN: 2077-7973, Published by AccScience Publishing