Temperature Dependence of ROPUF on FPGA

Kodýtek, Filip; Lórencz, Róbert; Buček, Jiří; Buchovecká, Simona

doi:10.1109/dsd.2016.29

Cited by 3 publications

(3 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is a measure of how many number of bits to be flipped during one particular PUF instance under different supply and environmental conditions. This can be mathematically expressed in expression (1) [10].…”

Section: Metrics Of Physical Unclonable Function 21 Reliabilitymentioning

confidence: 99%

“…Depending upon the size of the CRP, PUFs can be classified as two types such as weak and strong PUFs [4][5][6]. Weak PUFs (Anderson PUF) have limited number of CRPs, stable responses from noise and environment variations for multiple readings, output response should be preserve private, and response is strong enough and depends on intrinsic process variations [8][9][10][11]. Strong PUFs (Memory and delay based PUFs) have large number of CRPs, response generated from an each challenge could be strong enough to environmental variations (better reliability), no restriction to preserve the output response, not susceptible any attacks and not feasible to manufacture two PUFs with the same responses.…”

Section: Classifications Of Pufsmentioning

confidence: 99%

See 1 more Smart Citation

High secure buffer based physical unclonable functions (PUF’s) for device authentication

2019

View full text Add to dashboard Cite

Physical Unclonable Function (PUF) is fast growing technology which utilizes the statistical variability of the manufacture variations acts as a finger print to the each device. It can be widely used in security applications such as device authentication, key generation and Intellectual Property (IP) protection. Due to the simplicity and low cost arbiter delay based PUFs have been mostly used as a cryptographic key in Internet of Things (IoT) devices. As conventional arbiter PUFs are suffers from less uniqueness and reliability. This paper provides designing of new buffer based arbiter PUF. It has been demonstrated that experimental results of new buffer based arbiter PUF shows the considerable improvement in the uniqueness and reliability of the proposed design and the Monte-Carlo analysis applied for delay variability of the PUFs.

show abstract

Section: Metrics Of Physical Unclonable Function 21 Reliabilitymentioning

confidence: 99%

Section: Classifications Of Pufsmentioning

confidence: 99%

High secure buffer based physical unclonable functions (PUF’s) for device authentication

2019

View full text Add to dashboard Cite

show abstract

“…Other approaches for deriving multiple bits from each PUF node by quantisation, can be found, e.g., in [24], [25], [26], [27], [28]; the list is not exhaustive. Note that also approaches exists which group bits extracted from several PUF nodes to one multi-valued symbol, e.g., [29], [30].…”

Section: Introductionmentioning

confidence: 99%

Coded Modulation and Shaping for Multivalued Physical Unclonable Functions

Fischer

Müelich

2022

IEEE Access

View full text Add to dashboard Cite

In this paper, a coded modulation scheme employing signal shaping is proposed and designed for use in multi-valued physical unclonable functions (PUFs). In the literature, usually binary PUFs are considered, where less than one bit of entropy is extracted from each fundamental building block (PUF node). This randomness in the hardware may then used for the derivation of cryptographic keys. Meanwhile, PUFs over higher-order alphabets, so-called multi-valued PUFs (MVPUFs) have been presented. Typically, symbols from a higher-order alphabet are extracted by suited quantization. In contrast, in this paper we propose a coded modulation scheme which directly works on the analog values provided by the PUF nodes. We establish an interpretation as digital transmission with randomness at the transmitter, and thereon calculate the respective capacities of bit levels for the Gaussian distributed reference PUF readout in additive Gaussian noise. In addition, the metric for optimum soft-decision decoding is derived. Thereby, the coded modulation scheme can be designed for the present situation. A helper data scheme adapted to the given situation is proposed and analyzed. Moreover, on top of the multilevel coding scheme, we employ signal shaping for the first time in the context of PUFs. In particular, trellis shaping is applied. By this, the coded modulation scheme can be perfectly matched to the PUF statistics. This is reflected by the results of conducted numerical simulations. High coding rates can be used, i.e., a large entropy per PUF node can be extracted, with very high reliabilities.

show abstract