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- W4308455577 abstract "The device authentication of IoT nodes is very important since they are mainly deployed in open unsecure environment. Physical Unclonable Function (PUF) is a fingerprint of chip and may be useful to solve the hardware security issues in IoT network. This fingerprint is based on the inevitable physical variations that occur during the manufacturing of the device and is useful for generating cryptographic keys. These variations are random in nature and extracted through Challenges–Response Pairs. However, the responses of the device are subjected to change in the environmental condition such as temperature variations, humidity alteration, aging effect and voltage variations. The paper presents reliable PUF solution using an efficient error correction scheme. The main contribution of the paper is to design a secure and effective self-error correctable PUF for tiny IoT nodes. The systematic Golay code and decoding algorithm are applied with PUF for improvement of the reliability in IoT applications. The hardware implementation of Golay code based error correction along with PUF is performed on FPGA board to validate the proof of concept as reliable hardware security solution. The proposed design has good performance with 45% uniqueness and 97% of reliability using efficient error correction mechanism. The hardware results show that our proposed self correcting PUF based solution would suited for small sensors in various IoT applications." @default.
- W4308455577 created "2022-11-12" @default.
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- W4308455577 date "2022-11-01" @default.
- W4308455577 modified "2023-09-25" @default.
- W4308455577 title "Device authentication with FPGA based self correcting Physical Unclonable Function for Internet of Things" @default.
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- W4308455577 doi "https://doi.org/10.1016/j.micpro.2022.104717" @default.
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