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Reliable techniques for integrated circuit identification and true random number generation using 1.5-transistor flash memory
Affiliation:1. Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Italy;2. Institute of Communication and Computer Systems, National Technical University of Athens, Greece;1. College of Computer Science & Engineering, King Fahd University of Petroleum & Minerals (KFUPM), Dhahran 31261, Saudi Arabia;2. Department of Computer Engineering, King Fahd University of Petroleum & Minerals (KFUPM), Dhahran 31261, Saudi Arabia
Abstract:Flash memory bits, like other integrated circuit (IC) devices, are prone to random variability in their actual versus nominal characteristics. We present the use of 1.5-transistor flash memory cells in physically unclonable functions leveraging their erase speed variability. This type of memory is interesting for the internet of things due to its wide availability as intellectual property at foundries. Using experimentally measured results, we show simple methods that provide high reliability with no or limited need for helper data and error correction. High quality fingerprints for IC identification are demonstrated. Moreover, techniques to remove systematic variations from the array response are shown, allowing the resulting binary strings to pass all National Institute of Standards and Technology tests for randomness. Consequently, with low complexity helper functions, true random numbers can be readily produced.
Keywords:True random number generation  Physically unclonable functions  Flash memory  Systematic mismatch
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