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- W4367011770 abstract "The biometric data is inevitably used in Medical Things (IoMT) like fingerprints, retina scans, X-ray images, MRIs, and many more. In the medical system, it is generally collected by IoT devices like a scanner or by special machines like MRI scanners which are then transferred to a medical database using the Internet or local networking. Thus, security is must during the transmission of this data. An intuitionistic fuzzy system or set is defined with an unspecific boundary, it may have a random output for a specific input or it can be defined by the probability rather than yes/one or no/zero. Intuitionistic fuzzy system is a set theory in which the assessment of the member elements with two functions: for calculating the membership and also for calculating non-membership. In this paper, we proposed an intuitionistic fuzzy-based stream cipher for Privacy Preservation of Biometric Data in IoMT. Here, the linearity of LFSR is made nonlinear by the use of intuitionistic fuzzy system. We use two 64-bit LFSRs, which are initialized first by 128-bit session key / secret key, now, in each clock cycle, both produce 1-bit output, which is fed to the IF system, and finally, we apply the membership or non-membership function to get 1-bit output which is xored with 1-bit plaintext to produce 1-bit ciphertext. We also established that the stream of bits generated, say, 128-bit, is pseudorandom." @default.
- W4367011770 created "2023-04-27" @default.
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- W4367011770 date "2023-01-01" @default.
- W4367011770 modified "2023-09-25" @default.
- W4367011770 title "Intuitionistic Fuzzy Stream Cipher for Privacy Preservation of Biometric Data in IoMT" @default.
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- W4367011770 doi "https://doi.org/10.1007/978-981-19-5191-6_43" @default.
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