2011 IEEE International Symposium of Circuits and Systems (ISCAS) 2011
DOI: 10.1109/iscas.2011.5937628
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Evaluation of 90nm 6T-SRAM as Physical Unclonable Function for secure key generation in wireless sensor nodes

Abstract: Due to the unattended nature of WSN (Wireless Sensor Network) deployment, each sensor can be subject to physical capture, cloning and unauthorized device alteration. In this paper, we use the embedded SRAM, often available on a wireless sensor node, for secure data (cryptographic keys, IDs) generation which is more resistant to physical attacks. We evaluate the physical phenomenon that the initial state of a 6T-SRAM cell is highly dependent on the process variations, which enables us to use the standard SRAM c… Show more

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Cited by 59 publications
(34 citation statements)
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“…Yu [20][21] lacked a 4-corner analysis and NIST randomness data. Selimis in [16] lacked worst-case voltage-temperature analysis, and under single parameter (e.g., temperature only or voltage only) analysis achieved a 24% stability safety margin under the assumption that an error correction scheme can correct up to a quarter of the PUF bits being noisy (flipped), i.e., a fractional Hamming distance of 0.25, which is the theoretical limit for a conventional singlestage error correction scheme such as a BCH code [3] [14]. Paral [13] lacked voltage data, though the results corresponded to an RFID deriving power from its antenna implying some voltage fluctuation.…”
Section: Related Workmentioning
confidence: 99%
“…Yu [20][21] lacked a 4-corner analysis and NIST randomness data. Selimis in [16] lacked worst-case voltage-temperature analysis, and under single parameter (e.g., temperature only or voltage only) analysis achieved a 24% stability safety margin under the assumption that an error correction scheme can correct up to a quarter of the PUF bits being noisy (flipped), i.e., a fractional Hamming distance of 0.25, which is the theoretical limit for a conventional singlestage error correction scheme such as a BCH code [3] [14]. Paral [13] lacked voltage data, though the results corresponded to an RFID deriving power from its antenna implying some voltage fluctuation.…”
Section: Related Workmentioning
confidence: 99%
“…This is known as the bit flipping problem [6]- [12]. In identification applications, some bit flipping is allowable provided that the identifiers generated by genuine and fake memories are sufficiently different.…”
mentioning
confidence: 99%
“…For this purpose, Helper Data Algorithms (HDAs) -in particular Code Offset-based HDAs as described in [13] -have been employed. The drawback to this solution is the use of heavy error correction codes (ECCs) [6], [7]. As reported in [7], [9], the percentage of cells showing bit flipping increases if there are variations in the power supply voltage and increases even more if there are variations in the operating temperature.…”
mentioning
confidence: 99%
“…First implementations of SRAM PUFs were directed to be used in FPGAs [3]. Lately, their use has been reported in 65-and 90-nm integrated circuits [4] [5]. The behavior of SRAM cells has been studied to generate true random numbers, identifiers, and secret keys for cryptographic algorithms [3]- [6].…”
mentioning
confidence: 99%
“…However, the intrinsic noisy nature of PUFs causes that the bits provided by the PUF are not always the same but change under the same challenge from one use to another, which is known as bit flipping effect [4] [5]. This is a problem because it decreases both the intended reliability and uniqueness.…”
mentioning
confidence: 99%