Analysis of memristor based ring oscillators for hardware security

Hashim, Noor Alia Binti Nor; Hamid, Fazrena Azlee; Teo, Julius Han Loong; Hamid, Muhammad Saiful Ariffin

doi:10.1109/smelec.2016.7573621

Cited by 5 publications

(5 citation statements)

References 12 publications

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“…In this paper, rather than using inverters (usually static CMOS) are replaced with common-source amplifiers with memristive load, as shown in Figure 6. The reasons for using this configuration are its relatively small size compared to CMOS components and more random oscillation frequency [35].…”

Section: Research Methods 21 Memristor In Ring Oscillatormentioning

confidence: 99%

“…However, both ROPUFs have uniqueness values that are relatively low. In this paper, the memristor is introduced in the inverting units of the ring oscillators (ROs) as it causes a more random oscillating frequency [35]. Furthermore, a different method in generating a response is proposed that significantly expands the CRP set with only a small number of ROs.…”

Section: Ring Oscillator Physically Unclonable Functionmentioning

confidence: 99%

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Ring oscillator physically unclonable function using sequential ring oscillator pairs for more challenge-response-pairs

Teo¹,

Hashim²,

Ghazali³

et al. 2019

IJEECS

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<span>The ring oscillator physically unclonable function (ROPUF) is one of the several types of PUF that has great potential to be used for security purposes. An alternative ROPUF design is proposed with two major differences. Firstly, the memristor is included in the ring oscillators as it is claimed to produce a more random oscillation frequency. Other reasons are its memory-like properties and variable memristance, relative compatibility with CMOS, and small size. Secondly, a different method of generating the response is implemented whereby a sequence of selection of ring oscillator pairs are used to generate a multiple bit response, rather than using only one ring oscillator pair to generate a single bit response. This method significantly expands the set of challenge-response pairs. The proposed memristor-based ROPUF shows 48.57%, 51.43%, and 51.43% for uniqueness, uniformity, and bit-aliasing, respectively. Also, modelling by support vector machine (SVM) on the proposed memristor-based ROPUF only shows 61.95% accuracy, thereby indicating strong resistance against SVM.</span>

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Section: Research Methods 21 Memristor In Ring Oscillatormentioning

confidence: 99%

Section: Ring Oscillator Physically Unclonable Functionmentioning

confidence: 99%

Ring oscillator physically unclonable function using sequential ring oscillator pairs for more challenge-response-pairs

Teo¹,

Hashim²,

Ghazali³

et al. 2019

IJEECS

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“…Due to the addition of a memristor, the interaction between each variable in the memristive chaotic system or hyperchaotic system is intensified, resulting in the chaos, or hyperchaotic range is enlarged, and the dynamic characteristics become more complex [38][39][40][41][42][43][44][45]. On this basis, some RNGs based on memristive chaotic system or hyperchaotic system have been proposed successively [42,46,47]. Yu et al [42] proposed a multistable 5D memristive hyperchaotic system.…”

Section: Introductionmentioning

confidence: 99%

“…e resulting sequence passed the National Institute of Standards and Technology (NIST) test package and security analysis. Hashim et al [46,47] proposed a five-stage random number generator based on memristor. Each stage includes a memristor and an NMOS transistor.…”

Section: Introductionmentioning

confidence: 99%

Pseudorandom Number Generator Based on Three Kinds of Four-Wing Memristive Hyperchaotic System and Its Application in Image Encryption

Chen

Qian

et al. 2020

Complexity

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In this paper, we propose a method to design the pseudorandom number generator (PRNG) using three kinds of four-wing memristive hyperchaotic systems (FWMHSs) with different dimensions as multientropy sources. The principle of this method is to obtain pseudorandom numbers with good randomness by coupling XOR operation on the three kinds of FWMHSs with different dimensions. In order to prove its potential application in secure communication, the security of PRNG based on this scheme is analyzed from the perspective of cryptography. In addition, PRNG has passed the NIST 800.22 and ENT test, which shows that PRNG has good statistical characteristics. Finally, an image encryption algorithm based on PRNG is adopted. In the encryption algorithm, the optimized Arnold matrix scrambling method and the diffusion processing based on XOR are used to obtain the final encrypted image. Through the evaluation of encryption performance, it is concluded that there is no direct relationship between the pristine image and encrypted image. The results show that the proposed image encryption scheme has good statistical output characteristics and security performance in line with cryptography.

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“…Figure 12b demonstrates that when the input pulse is in a high state, the M4 turns ON, and V out is connected to the ground potential. Conversely, during a low input pulse, M4 is cut-off, and V out assumes the potential created by the current flowing through the memristor X2 [41,49]. The design employs a memristor as the load component.…”

mentioning

confidence: 99%

An Overview of Sinusoidal Oscillators Based on Memristive Devices

Setoudeh,

Matin Dezhdar

2024

New Insights on Oscillators and Their Applications to Engineering and Science

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Memristive devices include memristor, memcapacitor, and meminductor. Due to the adjustable resistance of the memristor, adjustable capacity of memcapacitor and adjustable inductance of meminductor, these devices can be used in the design of many analog circuits, including sinusoidal oscillators. Designing and implementation of a low-frequency voltage-controlled oscillator to achieve a wide tuning range, while meeting practical constraints such as small area and low power consumption, is a challenge. This challenge is overcome by replacing the resistors that occupy a large Silicon area in the conventional design with memristors, and hence smaller values of capacitances are used. Therefore, this chapter proposes and characterizes an overview of the implementation of memristive-based oscillators that are used in Electrical Neural Stimulation. In this chapter, an overview of the use of memristive devices in the design of sinusoidal oscillators and voltage-controlled oscillators is presented.

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Analysis of memristor based ring oscillators for hardware security

Cited by 5 publications

References 12 publications

Ring oscillator physically unclonable function using sequential ring oscillator pairs for more challenge-response-pairs

Ring oscillator physically unclonable function using sequential ring oscillator pairs for more challenge-response-pairs

Pseudorandom Number Generator Based on Three Kinds of Four-Wing Memristive Hyperchaotic System and Its Application in Image Encryption

An Overview of Sinusoidal Oscillators Based on Memristive Devices

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