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Medical Image Protection Using Blockchain for E-healthcare System

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Evolution in Computational Intelligence

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 267))

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Abstract

Basically, the modern E-healthcare system is a Cloud-based system where all the details of Patient Health Information (PHI) on disease diagnosis and scan reports are stored and shared among the stockholders of the system. However, the security of these sensitive records against unauthorized access and misuse is of major concern. In this context, a Blockchain-based record-sharing system could play an important role for secure transactions of medical information. In this paper, a smart contracts and Inter Planetary File System (IPFS)-based secure medical image protection system has been proposed to encrypt the session data. Moreover, it records every transaction of patient data in the Blockchain for better traceability. The performance of the proposed framework is evaluated in simulation to show its effectiveness.

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References

  1. Peng, W., Yi, L., Fang, L., XinHua, D., Ping, C.: Secure and traceable copyright management system based on blockchain. In: IEEE 5th International Conference on Computer and Communications (ICCC) (2019)

    Google Scholar 

  2. Jose, D.M., Karuppathal, R., Kumar, A.V.A.: Copyright protection using digital watermarking. In: National Conference on Advances in Computer Science and Applications with International Journal of Computer Applications (NCACSA), International Journal of Computer Applications (IJCA) (2012)

    Google Scholar 

  3. Savelyev, A.: Copyright in the blockchain era: promises and challenges. Comput. Law Secur. Rev. 34(3), 550–561 (2018)

    Article  Google Scholar 

  4. Fujimura, S., et al.: BRIGHT: A concept for a decentralized rights management system based on blockchain. In: 2015 IEEE 5th International Conference on Consumer Electronics-Berlin (ICCE-Berlin), Berlin (2015)

    Google Scholar 

  5. Meng, Z., Morizumi, T., Miyata, S., Kinoshita, H.: Design scheme of copyright management system based on digital watermarking and blockchain. In: 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC) (2018)

    Google Scholar 

  6. Zauner, C.: Implementation and benchmarking of perceptual image hash functions (2010)

    Google Scholar 

  7. Nishane, S., Umale, V.M.: Digital image watermarking based on DWT using QR code. Int. J. Curr. Eng. Technol. 5(3), 1530–1532 (2015)

    Google Scholar 

  8. Chow, Y.W., Susilo, W., Tonien, J., Zong, W.: A QR code watermarking approach based on the DWT-DCT technique. In: Australasian Conference on Information Security and Privacy, Cham, 2017, pp. 314–331

    Google Scholar 

  9. Mahler, T., et al.: Know your enemy: characteristics of cyber-attacks on medical imaging devices. Comput. Res. Repos. (CoRR) (2018). arXiv:1801.05583

  10. Zhang, A., Lin, X.: Towards secure and privacy-preserving data sharing in e-health systems via consortium blockchain. J. Med. Syst. 42(8), 1–18 (2018)

    Article  Google Scholar 

  11. Azim, A., Islam, M.N., Spranger, P.E.: Blockchain and novel coronavirus: towards preventing COVID-19 and future pandemics. Iberoamerican J. Med. 2(3), 215–218 (2020)

    Article  Google Scholar 

  12. Solomon, S.: Israeli researchers show medical scans vulnerable to fake tumors (2019). https://www.timesofisrael.com/israeli-researchers-show-medical-scans-vulnerable-to-fake-tumors/

  13. Ma, Z., Huang, W., Gao, H.: Secure DRM scheme based on blockchain with high credibility. Chin. J. Electron. 27(5), 1025–1036 (2018)

    Article  Google Scholar 

  14. Parah, S.A., Sheikh, J.A., Ahad, F., Loan, N.A., Bhat, G.M.: Information hiding in medical images: a robust medical image watermarking system for E-healthcare. Multimedia Tools Appl. 76(8), 10599–10633 (2017)

    Article  Google Scholar 

  15. Benet, J.: IPFS-content addressed, versioned, p2p file system (2014)

    Google Scholar 

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Correspondence to Punam Prabha or Kakali Chatterjee .

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Prabha, P., Janoria, Y., Raj, H., Patidar, U., Chatterjee, K. (2022). Medical Image Protection Using Blockchain for E-healthcare System. In: Bhateja, V., Tang, J., Satapathy, S.C., Peer, P., Das, R. (eds) Evolution in Computational Intelligence. Smart Innovation, Systems and Technologies, vol 267. Springer, Singapore. https://doi.org/10.1007/978-981-16-6616-2_15

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