Accuracy Improvements of Identification and Authentication of Devices by EM-Measurements

Sikora, Axel; Nyemkova, Elena; Lakh, Yuriy

doi:10.1109/idaacs-sws50031.2020.9297071

Cited by 4 publications

(5 citation statements)

References 20 publications

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“…Let us compare the obtained simulation results with the existing practice, which uses authentication by internal electrical noise [8]. For comparison, the following parameters were selected: authentication reliability, the number of devices in the corporate network that could be simultaneously authenticated, the bit template calculation time.…”

Section: Results Of the Simulation Experimentsmentioning

confidence: 99%

“…Some generator parameters are presented in the Table 3, of which one is presented in Figure 7, when g f = 1 MHz. The PPSG was implemented based on the MAFG for 3 = q , while its internal parameters corresponded to the above: the output signal of the logic scheme LS was formed by the expression (8), and the initial states of the registers Rg1-Rg5 were G, 0, 0, 0, 0, correspondingly. This allowed us to tell whether the statistical characteristics of the output pulse sequence in the given ranges of values out f , corresponded to Poisson's law of distribution.…”

Section: Comparing Ppsg Characteristicsmentioning

confidence: 99%

“…Bit template variations provide dynamic authentication because the templates do not repeat exactly, and thus the authenticator reuse attack is eliminated. There are known experiments, a result of which made it possible to authenticate stationary personal computers of the same series with an accuracy of 98.6% [8].…”

Section: Introductionmentioning

confidence: 99%

“…For laptops the situation is slightly different. If the laptop gets into a location with a strong external electromagnetic field that significantly affects the internal noise of the laptop, then authentication errors occur [8]. In addition, not all electronic information-processing devices have integrated ADCs, for example, many microprocessors do not have an integrated ADC.…”

Section: Introductionmentioning

confidence: 99%

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Simulation of Authentication in Information-Processing Electronic Devices Based on Poisson Pulse Sequence Generators

et al. 2022

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Poisson pulse sequence generators are quite well studied, have good statistical properties, are implemented both in software and hardware, but have not yet been used for the purpose of authentication. The work was devoted to modeling authenticators of information-processing electronic devices by creating a bit template simulator based on a Poisson pulse sequence generator (PPSG). The generated templates imitated an important property of real bit templates, which reflected the physical uniqueness of electronic devices, namely Hamming distances between arbitrary template pairs for the same device were much smaller than the distance between arbitrary template pairs for two different devices. The limits of the control code values were determined by setting the range of the average frequency values of the output pulse sequence with the Poisson distribution law. The specified parameters of the output pulse sequence were obtained due to the optimization of the parameters of the PPSG structural elements. A combination of pseudo-random sequences with the control code’s different values formed the bit template. The comparison of the Hamming distance between the standard and real-time templates with a given threshold value was used as a validation mechanism. The simulation experiment results confirmed the unambiguous authentication of devices. The simulation results also showed similarities with the real data obtained for the bit templates of personal computers’ own noise. The proposed model could be used for improving the cybersecurity of a corporate network as an additional factor in the authentication of information-processing electronic devices for which the measurement of noise with the required accuracy is not possible or significantly difficult.

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Section: Results Of the Simulation Experimentsmentioning

confidence: 99%

Section: Comparing Ppsg Characteristicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Simulation of Authentication in Information-Processing Electronic Devices Based on Poisson Pulse Sequence Generators

et al. 2022

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“…Most PUFs proposed in the literature are silicon-based, including arbiter [4,5], ring oscillator (RO) [6], static RAM (SRAM) and butterfly [7], latch [8], and flip-flop [9] PUFs. Moreover, some designs based on other materials and technologies have also been presented, such as printed electronics (PE) [10], touchscreens [11], solar cells [12], photodiodes [13], and the electric signals of personal computers [14].…”

Section: Introductionmentioning

confidence: 99%

A Novel Key Generation Method for Group-Based Physically Unclonable Function Designs

2021

Self Cite

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In recent years, physically unclonable functions (PUFs) have gained significant attraction in IoT security applications, such as cryptographic key generation and entity authentication. PUFs extract the uncontrollable production characteristics of different devices to generate unique fingerprints for security applications. When generating PUF-based secret keys, the reliability and entropy of the keys are vital factors. This study proposes a novel method for generating PUF-based keys from a set of measurements. Firstly, it formulates the group-based key generation problem as an optimization problem and solves it using integer linear programming (ILP), which guarantees finding the optimum solution. Then, a novel scheme for the extraction of keys from groups is proposed, which we call positioning syndrome coding (PSC). The use of ILP as well as the introduction of PSC facilitates the generation of high-entropy keys with low error correction costs. These new methods have been tested by applying them on the output of a capacitor network PUF. The results confirm the application of ILP and PSC in generating high-quality keys.

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Output Positioning to Derive Maximum Entropy From Physical Unclonable Functions

Abdolinezhad,

Zimmermann,

Sikora

2024

IEEE Trans.Inform.Forensic Secur.

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Accuracy Improvements of Identification and Authentication of Devices by EM-Measurements

Cited by 4 publications

References 20 publications

Simulation of Authentication in Information-Processing Electronic Devices Based on Poisson Pulse Sequence Generators

Simulation of Authentication in Information-Processing Electronic Devices Based on Poisson Pulse Sequence Generators

A Novel Key Generation Method for Group-Based Physically Unclonable Function Designs

Output Positioning to Derive Maximum Entropy From Physical Unclonable Functions

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