A low-overhead RO PUF design for Xilinx FPGAs

Pei, Songwei; Zhang, Jingdong; Wang, Ruonan

doi:10.1587/elex.15.20180093

Cited by 9 publications

(4 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Compared with Zhang's [27] result, our proposed method not only eliminates the correlation between adjacent bits, but also achieves a lower BER (only 0.84%) which can meet higher-reliability requirement. Meanwhile, 16-bit effective response can be extracted from per RO on average and each RO only consumes 8 LUTs while other work [11,21,27,30] get less than 16 response bits from per RO which means lower entropy extraction efficiency. Therefore, we went further based on Zhang's work and got better performance than others in terms of resource consumption.…”

Section: Comparison and Summary Of Experimental Resultsmentioning

confidence: 99%

An efficient and stable composed entropy extraction method for FPGA-based RO PUF

Li¹,

Li²,

Yang

et al. 2020

IEICE Electron. Express

View full text Add to dashboard Cite

The physical unclonable function (PUF) of the ring oscillator (RO) is applied to key generation and other fields due to its excellent physical characteristics and simple implementation on FPGA. However, the traditional frequency comparison method uses the sign bit of two ROs' frequency difference which can only extract one bit of entropy, and the bit error rate (BER) of the response always exceeds 1% without error correction schemes. In this paper, we designed RO based on FPGA LUT unit in a single CLB, and proposed a method of getting difference after summing the first-order frequency difference, which we called Difference on Summed Difference (DSD) method. According to experimental measurement results, the DSD method can achieve the BER of 0.39%, and the uniqueness of 50.30%. In order to obtain more entropy, we proposed a composed entropy extraction method which combined the DSD method with the existing higher-order difference method. Experimental results demonstrated that the composed method totally obtained 32-bit response with the BER of 0.84% and the uniqueness of 49.15% while the BER of the existing higher-order difference method is 1.85%.

show abstract

Section: Comparison and Summary Of Experimental Resultsmentioning

confidence: 99%

An efficient and stable composed entropy extraction method for FPGA-based RO PUF

Li¹,

Li²,

Yang

et al. 2020

IEICE Electron. Express

View full text Add to dashboard Cite

show abstract

“…These methodologies can generally be categorized into two main types: optical PUF [13][14][15][16][17][18] and circuit PUF. [19][20][21][22][23][24] The creation of optical PUFs relies on the inherently unpredictable random structures inherent in the material itself, examples of which include artificial fingerprints, [25,26] surface intrinsic topology, [27] and the random arrangement of nanoparticles, [28,29] among others. Discovering and producing PUF in electronic circuits requires years of research and development efforts, but fortunately, there are several PUF implementation solutions available for use.…”

Section: Introductionmentioning

confidence: 99%

“…Since Pappu [12] first introduced the concept of PUFs, a multitude of new implementations of physically unclonable technologies have been proposed, in the following decades, drawing on a diverse range of underlying technologies. These methodologies can generally be categorized into two main types: optical PUF [13–18] and circuit PUF [19–24] . The creation of optical PUFs relies on the inherently unpredictable random structures inherent in the material itself, examples of which include artificial fingerprints, [25,26] surface intrinsic topology, [27] and the random arrangement of nanoparticles, [28,29] among others.…”

Section: Introductionmentioning

confidence: 99%

Structural color‐based physical unclonable function

Lin,

Shi,

et al. 2024

Responsive Materials

View full text Add to dashboard Cite

Commodity fraud poses significant economic and public health risks while jeopardizing market stability. A promising avenue for addressing this issue involves the incorporation of physical unclonable function (PUF) in anti‐counterfeiting labels for commodity authentication purposes. PUFs are a large number of unbreakable security labels generated through a random process, which exhibit unique physical pattern responses that are impervious to replication. In particular, a novel kind of a PUF model, called structural color‐based PUFs, combing the structural color characteristics of angle‐dependent stability and brightness with unclonable property, offers unassailable encryption capabilities and serves as a formidable safeguard against forgery. This review undertakes a comprehensive summary of recent advancements in PUF technology leveraging structural color materials. Moreover, it provides a systematic description of the recognition and authentication technology employed in optical structural color PUFs. Finally, a prospective summary and outlook is proposed to explain existing challenges, and highlight potential developments in anti‐counterfeiting technology incorporating structural color PUF labels.

show abstract

“…RO (ring oscillator) PUF is also a Weak PUF. It can generate responses by comparing the oscillation frequencies of two identical RO circuits [7,8]. The Strong PUFs have exponential number of CRPs and are suitable for authentication [9,10].…”

Section: Introductionmentioning

confidence: 99%

A lightweight and secure-enhanced Strong PUF design on FPGA

Hou

Guo

et al. 2019

IEICE Electron. Express

View full text Add to dashboard Cite

Physical unclonable function (PUF) is a reliable physical security primitive. The Weak PUF and Strong PUF are two well-known PUF topologies. Strong PUF can be used to authenticate and protect intellectual property on FPGA chips. Classic PUF designs, like arbiter PUF, are hard to implement on FPGA and severely threatened by the machine learning based modeling attacks. In this work, we propose a new Strong PUF on FPGA by combining Weak PUF with obfuscation logic. Experiment results on a 28nm FPGA show that the resistance to modeling attack is good and the hardware overhead is small.

show abstract

A low-overhead RO PUF design for Xilinx FPGAs

Cited by 9 publications

References 16 publications

An efficient and stable composed entropy extraction method for FPGA-based RO PUF

An efficient and stable composed entropy extraction method for FPGA-based RO PUF

Structural color‐based physical unclonable function

A lightweight and secure-enhanced Strong PUF design on FPGA

Contact Info

Product

Resources

About