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A Blockchain-Based Scheme for Secure Sharing of X-Ray Medical Images

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Security with Intelligent Computing and Big-data Services (SICBS 2018)

Abstract

This paper proposes a secure sharing and trading scheme of X-Ray medical image data based on block chain, as it can be used for further scientific research processing. The specific representation includes the following steps: i. The original X-Ray data of medical instruments are transmitted to the cloud platform through the MQTT protocol; ii. The patient information (name, medical card number, etc.) of the image data is encrypted by hashing algorithm to protect privacy; iii. Applying a watermark to the image data; iv. Generating blocks through the consensus mechanism of block chain. The scheme proposed in this paper overcomes the security challenges faced by the traditional cloud-based image data management solution: user privacy disclosure, illegal tampering, and the risk of data being stolen and sold, and realizes a secure transaction system connecting users with data needs, which makes the huge image data on clinical medicine have higher scientific research value.

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References

  1. Radanović, R., I., Likić, R.: MIStore: opportunities for use of blockchain technology in medicine. Appl. Health Econ. Health Policy, 1–8 (2018)

    Google Scholar 

  2. Zhou, L., Wang, L., Sun, Y.: MIStore: a blockchain-based medical insurance storage system. J. Med. Syst. 42(8), 149 (2018)

    Article  Google Scholar 

  3. Patel, V.: A framework for secure and decentralized sharing of medical imaging data via blockchain consensus. Health Inform. J. (2018)

    Google Scholar 

  4. Kaur, H., Alam, M.A., Jameel, R., Mourya, A.K., Chang, V.: A proposed solution and future direction for blockchain-based heterogeneous medicare data in cloud environment. J. Med. Syst. 42(8), 156 (2018)

    Article  Google Scholar 

  5. Dagher, G.G., Mohler, J., Milojkovic, M., Marella, P.B.: Ancile: privacy-preserving framework for access control and interoperability of electronic health records using blockchain technology. Sustain. Cities Soc. 39, 283–297 (2018)

    Article  Google Scholar 

  6. Li, H., Zhu, L., Shen, M., Gao, F., Tao, X., Liu, S.: Blockchain-based data preservation system for medical data. J. Med. Syst. 42(8), 141 (2018)

    Article  Google Scholar 

  7. Gammon, K.: Experimenting with blockchain: can one technology boost both data integrity and patients’ pocketbooks? Nat. Med. 24(4), 378–381 (2018)

    Article  Google Scholar 

  8. Kamel, M.B., Wilson, J.T., Clauson, K.A.: Geospatial blockchain: promises, challenges, and scenarios in health and healthcare. Int. J. Health Geogr. 17(1), 25 (2018)

    Article  Google Scholar 

  9. Griggs, K., Ossipova, O., Kohlios, C.: Healthcare blockchain system using smart contracts for secure automated remote patient monitoring. J. Med. Syst. 42(7), 130 (2018)

    Article  Google Scholar 

  10. Fan, K., Wang, S., Ren, Y., Li, H., Yang, Y.: Medblock: efficient and secure medical data sharing via blockchain. J. Med. Syst. 42(8), 136 (2018)

    Article  Google Scholar 

  11. Firdaus, A., Anuar, N.B., Razak, M.F.A., Hashem, I.A.T., Bachok, S., Sangaiah, A.K.: Root exploit detection and features optimization: mobile device and blockchain based medical data management. J. Med. Syst. 42(6), 112 (2018)

    Article  Google Scholar 

  12. Hartung, F., Kutter, M.: Multimedia watermarking techniques. Proc. IEEE 87(7), 1079–1107 (1999)

    Article  Google Scholar 

  13. Nyeem, H., Boles, W., Boyd, C.: A review of medical image watermarking requirements for teleradiology. J. Digit. Imaging 26(2), 326–343 (2013)

    Article  Google Scholar 

  14. Ping, N.L., Ee, K.B., Wei, G.C.: A study of digital watermarking on medical image. In: World Congress on Medical Physics and Biomedical Engineering (2007)

    Google Scholar 

  15. Navas, K.A., Sasikumar, M.: Survey of medical image watermarking algorithms. Clin. Immunol. Immunopathol. 73(3), 338–343 (2007)

    Google Scholar 

  16. Boucherkha, S., Benmohamed, M.: A lossless watermarking based authentication system for medical images. In: Proceedings of International Conference on Computational Intelligence, ICCI 2004, Istanbul, Turkey, pp. 240–243 (2008)

    Google Scholar 

  17. Memon, N.: Watermarking of medical images for content authentication and copyright protection. Ph.D. thesis, Pakistan: Faculty of Computer Science and Engineering, GIK Institute of Engineering Sciences and Technology (2010)

    Google Scholar 

  18. Bouslimi, D., Coatrieux, G., Cozic, M.: A joint encryption/watermarking system for verifying the reliability of medical images. IEEE Trans. Inf. Technol. Biomed. 16(5), 891–899 (2012)

    Article  Google Scholar 

  19. Abd-Eldayem, M.M.: A proposed security technique based on watermarking and encryption for digital imaging and communications in medicine. Egypt. Inform. J. 14(1), 1–13 (2013)

    Article  Google Scholar 

  20. Memon, N.A., Gilani, S.A.M.: Adaptive data hiding scheme for medical images using integer wavelet transform. In: International Conference on Emerging Technologies, pp. 221–224. IEEE (2009)

    Google Scholar 

  21. Ahmed, F., Moskowitz, I.S.: A semi-reversible watermark for medical image authentication. In: Transdisciplinary Conference on Distributed Diagnosis and Home Healthcare, pp. 59–62. IEEE (2006)

    Google Scholar 

  22. Mehto, A., Mehra, N.: Adaptive Lossless Medical Image Watermarking Algorithm Based on DCT & DWT. Elsevier Science Publishers B. V., Amsterdam (2016)

    Book  Google Scholar 

  23. Hanki, R., Borra, S., Dwivedi, V.: An efficient medical image watermarking scheme based on FDCuT–DCT. Eng. Sci. Technol. Int. J. 20, 1366–1379 (2017)

    Article  Google Scholar 

  24. Guo, X., Zhuang, T.G.: A region-based lossless watermarking scheme for enhancing security of medical data. J. Digit. Imaging 22(1), 53–64 (2009)

    Article  Google Scholar 

  25. Duan, C.J., Jingfeng, M.A., Zhang, Y.B.: Energy conduction model and its application in medical image segmentation: energy conduction model and its application in medical image segmentation. J. Softw. 20(5), 1106–1115 (2009)

    Article  Google Scholar 

  26. Rahimi, F., Rabbani, H.: A dual adaptive watermarking scheme in contourlet domain for DICOM images. Biomed. Eng. Online 10(1), 53 (2011)

    Article  Google Scholar 

  27. Al-Qershi, O.M., Khoo, B.E.: A dual adaptive watermarking scheme in contourlet domain for DICOM images. J. Digit. Imaging 24(1), 114–125 (2011)

    Article  Google Scholar 

  28. Tan, C.K., Ng, J.C., Xu, X., Poh, C.L., Guan, Y.L., Sheah, K.: Security protection of dicom medical images using dual-layer reversible watermarking with tamper detection capability. J. Digit. Imaging 24(3), 528–540 (2011)

    Article  Google Scholar 

  29. Pan, W., Coatrieux, G., Montagner, J., Cuppens, N.: Comparison of some reversible watermarking methods in application to medical images. In: International Conference of the IEEE Engineering in Medicine & Biology Society, p. 2172 (2009)

    Google Scholar 

  30. Tsai, H.H., Tseng, H.C., Lai, Y.S.: Robust lossless image watermarking based on \(\upalpha \)-trimmed mean algorithm and support vector machine. J. Syst. Softw. 83(6), 1015–1028 (2011)

    Google Scholar 

  31. Rahmani, H., Mortezaei, R., Moghaddam, M.E.: A new lossless watermarking scheme based on DCT coefficients. In: International Conference on Digital Content, Multimedia Technology and ITS Applications, pp. 28–33. IEEE (2010)

    Google Scholar 

  32. Kallel, I.F., Bouhlel, M.S., Lapayre, J.C.: Improved Tian’s method for medical image reversible watermarking. GVIP J. 7, 1–5 (2007)

    Google Scholar 

  33. Fu, R.D., Jin, W.: A wavelet-based method of zero-watermark utilizing visual cryptography. In: International Conference on Multimedia Technology, pp. 1–4. IEEE (2010)

    Google Scholar 

  34. Wei, J., Jinxiang, L.I., Yin, C.Q.: An image zero-watermarking scheme based on visual cryptography utilizing contour-wavelet. J. Optoelectron. Laser 20(5), 653–656 (2009)

    Google Scholar 

  35. Qu, C., Yang, X., Yuan, D.: Zero-watermarking visual cryptography algorithm in the wavelet domain. J. Image Graph. 19, 365–372 (2014)

    Google Scholar 

  36. Aleš, R., Karel, S., Otto, D., Michal, J.: A new approach to fully-reversible watermarking in medical imaging with breakthrough visibility parameters. Biomed. Signal Process. Control. 29, 44–52 (2016)

    Article  Google Scholar 

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Correspondence to Mingzhe Liu .

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Liu, B., Liu, M., Jiang, X., Zhao, F., Wang, R. (2020). A Blockchain-Based Scheme for Secure Sharing of X-Ray Medical Images. In: Yang, CN., Peng, SL., Jain, L. (eds) Security with Intelligent Computing and Big-data Services. SICBS 2018. Advances in Intelligent Systems and Computing, vol 895. Springer, Cham. https://doi.org/10.1007/978-3-030-16946-6_3

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