Abstract
E-Health is using digital services and communication technology to support healthcare. E-Health services are becoming increasingly popular. With E-Health, large amounts of data need to be collected, stored, and sent to other places while remaining private. This raises the need for privacy-preserving data aggregation schemes to be implemented. Many other privacy-preserving data aggregation schemes already exist for E-Health services utilizing tools such as homomorphic encryption, which can be slow with large amounts of data. This paper proposes a privacy-preserving scheme to aggregate data in an E-Health setting. Our scheme allows all patients’ data to remain private. Doctors can utilize partial decryption in our scheme to collect specific patient information, such as how many patients have high blood pressure, without seeing all patients’ data.
Keywords
- Aggregation over encrypted data
- E-Health
- k-Nearest Neighbor
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Watkins, M., Dorsey, C., Rennier, D., Polley, T., Sherif, A., Elsersy, M. (2023). Privacy-Preserving Data Aggregation Scheme for E-Health. In: Al-Sharafi, M.A., Al-Emran, M., Al-Kabi, M.N., Shaalan, K. (eds) Proceedings of the 2nd International Conference on Emerging Technologies and Intelligent Systems . ICETIS 2022. Lecture Notes in Networks and Systems, vol 573. Springer, Cham. https://doi.org/10.1007/978-3-031-20429-6_57
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DOI: https://doi.org/10.1007/978-3-031-20429-6_57
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Online ISBN: 978-3-031-20429-6
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