Transient Effect Ring Oscillator PUF Based on Programmable Delay Lines

Hu, Yangpingqing; Jiang, Yuqiu; Wang, Weizhong

doi:10.1109/iciset54810.2022.9775831

Cited by 1 publication

(2 citation statements)

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“…The strength of the distribution within a histogram, such as that in Figure 18, can be evaluated with a X 2 test. The X 2 test determines homogeneity with a sample and is calculated with Equation (15).…”

Section: Discussionmentioning

confidence: 99%

“…Another TRNG architecture that maximizes oscillatory metastability is the Transition Effect Ring Oscillator (TERO). Similar to a classic ring oscillator, a TERO uses a coupling of two AND gates and two XOR gates to produce a constant metastable state, which is then clocked into a flip-flop [14,15]. These TRNG principles can be combined with the Fibonacci and Galois LFSRs to create Fibonacci Ring Oscillators (FiROs) and Galois Ring Oscillators (GaROs).…”

Section: Building a True Random Number Generatormentioning

confidence: 99%

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Integrating Lorenz Hyperchaotic Encryption with Ring Oscillator Physically Unclonable Functions (RO-PUFs) for High-Throughput Internet of Things (IoT) Applications

Magyari,

Chen

2023

Electronics

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With the combined call for increased network throughput and security comes the need for high-bandwidth, unconditionally secure systems. Through the combination of true random number generators (TRNGs) for unique seed values, and four-dimensional Lorenz hyperchaotic systems implemented on a Stratix 10 Intel FPGA, we are able to implement 60 MB/s encryption/decryption schemes with 0% data loss on an unconditionally secure system with the NIST standard using less than 400 mW. Further, the TRNG implementation allows for unique encryption outputs for similar images while still enabling proper decryption. Histogram and adjacent pixel analysis on sample images demonstrate that without the key, it is not possible to extract the plain text from the encrypted image. This encryption scheme was implemented via PCIe for testing and analysis.

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Section: Discussionmentioning

confidence: 99%

Section: Building a True Random Number Generatormentioning

confidence: 99%