Intrinsically Reliable and Lightweight Physical Obfuscated Keys
Raihan Sayeed Khan, Nadim Kanan, Chenglu Jin, Jake Scoggin, Nafisa, Noor, Sadid Muneer, Faruk Dirisaglik, Phuong Ha Nguyen, Helena Silva, Marten, van Dijk, Ali Gokirmak

TL;DR
This paper introduces two new physical obfuscated key designs that are inherently reliable and lightweight, using XOR circuitry and material variability, eliminating the need for additional error correction or privacy amplification.
Contribution
The paper presents intrinsically reliable POK designs leveraging lithographic and phase change memory variability, simplifying the security architecture.
Findings
Demonstrated through experiments and simulations
Achieve reliability without additional error correction
Use XOR circuitry for privacy amplification
Abstract
Physical Obfuscated Keys (POKs) allow tamper-resistant storage of random keys based on physical disorder. The output bits of current POK designs need to be first corrected due to measurement noise and next de-correlated since the original output bits may not be i.i.d. (independent and identically distributed) and also public helper information for error correction necessarily correlates the corrected output bits.For this reason, current designs include an interface for error correction and/or output reinforcement, and privacy amplification for compressing the corrected output to a uniform random bit string. We propose two intrinsically reliable POK designs with only XOR circuitry for privacy amplification (without need for reliability enhancement) by exploiting variability of lithographic process and variability of granularity in phase change memory (PCM) materials. The two designs are…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPhysical Unclonable Functions (PUFs) and Hardware Security · Integrated Circuits and Semiconductor Failure Analysis · Advanced Memory and Neural Computing
