R$^3$PUF: A Highly Reliable Memristive Device based Reconfigurable PUF
Yansong Gao, Damith C. Ranasinghe

TL;DR
This paper introduces R$^3$PUF, a memristive device-based PUF that achieves near-perfect reliability and reconfigurability, addressing key limitations of existing PUF designs for cryptographic applications.
Contribution
The paper proposes a novel R$^3$PUF design that combines high reliability and reconfigurability, validated through extensive simulations, which was not achieved by prior PUF architectures.
Findings
Achieves nearly 100% reliability in PUF responses
Demonstrates reconfigurability in PUF design
Simpler and more cost-effective than existing solutions
Abstract
We present a memristive device based RPUF construction achieving highly desired PUF properties, which are not offered by most current PUF designs: (1) High reliability, almost 100\% that is crucial for PUF-based cryptographic key generations, significantly reducing, or even eliminating the expensive overhead of on-chip error correction logic and the associated helper on-chip data storage or off-chip storage and transfer. (2) Reconfigurability, while current PUF designs rarely exhibit such an attractive property. We validate our RPUF via extensive Monte-Carlo simulations in Cadence based on parameters of real devices. The RPUF is simple, cost-effective and easy to manage compared to other PUF constructions exhibiting high reliability or reconfigurability. None of previous PUF constructions is able to provide both desired high reliability and reconfigurability…
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Taxonomy
TopicsAdvanced Memory and Neural Computing · Physical Unclonable Functions (PUFs) and Hardware Security · Neuroscience and Neural Engineering
