Qualitative Analysis of Homomorphic Encryption in Medical Field #904
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A. M. Mujumdar, N. Kar, P. Biswas and A. Mathur, "Qualitative Analysis of Homomorphic Encryption in Medical Field," 2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS), Bangalore, India, 2024, pp. 1-6, doi: 10.1109/ICITEICS61368.2024.10625392.
Abstract—The cloud computing revolutionized data processing and storage. The accessibility of cloud computing are the primary drivers of its rising use. The cloud is simple to use and accessible from any location in the world. Users or clients upload their data to the cloud, the cloud processes it, and they receive the intended outcomes. While cloud computing offers many advantages, it also exposes our private information to outside service providers. Sensitive patient medical history data that is maintained by numerous facilities is stored in the cloud for the medical industry. As a result, this information is kept as encrypted data. However, this data may also need to go through additional processing. Modern cryptography algorithms conduct actions on the decrypted data before re-encrypting it. Due to this, confidential information may be lost. Homomorphic encryption works on the encrypted data itself and provides the client with encrypted results. The paper examines and analyses the use of homomorphic encryption in the medical sector.
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