Towards automated homomorphic encryption parameter selection with fuzzy logic and linear programming

Cabrero-Holgueras, José; Pastrana, Sergio

doi:10.1016/j.eswa.2023.120460

Cited by 3 publications

(3 citation statements)

References 16 publications

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“…DASS 42 is a questionnaire with 42 questions, consisting of 3 emotional scales: depression, anxiety, and stress with levels as shown in Table 5; normal, mild, moderate, severe, and very severe [31]. The DASS 42 scale can be classified into 3 [32], which are the depression scale (questions number 3,5,10,13,16,17,21,24,26,31,34,37,38,42), the anxiety scale (questions number 2, 4, 7, 9, 15, 19, 20, 23, 25, 28, 30, 36, 40, 41.3), and the stress scale (questions number 1,6,8,11,12,14,18,22,27,29,32,33,35,39).…”

Section: Dass 42 Testmentioning

confidence: 99%

“…The fuzzy logic method is a method that can process variables that are fuzzy or cannot be described with certainty [16]. The advantages of the fuzzy logic method are that it is easy to understand because it uses the basis of set theory, is very flexible, meaning that it is able to adapt to changes and uncertainties that accompany problems, has tolerance for inaccurate data, is able to model very complex nonlinear functions [17], can build and apply the experiences of experts directly without having to go through a training process which is often known as the fuzzy expert system, can work with conventional control techniques [18]- [20].…”

Section: Introductionmentioning

confidence: 99%

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Fuzzy logic method-based stress detector with blood pressure and body temperature parameters

Fajrin,

Sasmeri,

Riski Prilia

et al. 2024

IJECE

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In this study, using the fuzzy logic method, a stress detection tool was created with body temperature and blood pressure parameters as indicators to determine a person's stress level. This tool uses the LM35DZ sensor to detect body temperature, the MPX5100GP sensor to read blood pressure values, and Arduino Uno as a data processor from sensor readings which are then calculated using the fuzzy logic method as a stress level decision-maker. The resulting output measures blood pressure, body temperature, and the stress level experienced by a person, which will be displayed on the liquid crystal display. Based on the results of testing the body temperature parameter, the highest error generated was 1.17%, and for the blood pressure parameter, the highest error was 2.5% for systole and 0.93% for diastole. Furthermore, testing the stress level displayed on the tool is compared to the depression, anxiety, and stress scales 42 (DASS 42), a psychological stress measuring instrument. From the results of testing the tool with the questionnaire, the average conformity level is 74%.

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Section: Dass 42 Testmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fuzzy logic method-based stress detector with blood pressure and body temperature parameters

Fajrin,

Sasmeri,

Riski Prilia

et al. 2024

IJECE

View full text Add to dashboard Cite

show abstract

“…So far, only a few proposals have looked at the construction of guidelines for fully homomorphic encryption frameworks [30]- [32]. Authors in [30] provide a guideline for BGV [33] cryptosystem implemented with HElib library [34], while in [31] the authors discuss and construct instructions for CKKS [11] configuration with Lattigo library [35]. In [32], the author focuses on BFV [36] guideline considering its implementation within Microsoft SEAL [37].…”

Section: Related Workmentioning

confidence: 99%

Guidelines for Secure Process Control: Harnessing the Power of Homomorphic Encryption and State Feedback Control

Furka,

Kalúz,

Fikar

et al. 2023

IEEE Access

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The paper presents applications of homomorphic cryptographic schemes in process control. Homomorphic encryption is a particular type of encryption that allows performing mathematical operations over encrypted data. Therefore the user can use third-party services as controllers without revealing any vulnerable information, like process data. Homomorphic properties make it possible to perform data aggregation or evaluate control actions without having any knowledge about the process data. Our paper explores two fully homomorphic cryptographic schemes, namely Brakerski/Fan-Vercauteren (BFV) and Cheon-Kim-Kim-Song (CKKS) cryptosystems. Each scheme is briefly described with its advantages and drawbacks, conditions, and applications. We present a case study involving linear-quadratic (LQ) control strategy implemented in an encrypted setup. This serves for comparison and a step-by-step guide for implementing encrypted process control.

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Fuzzy Neural Network

Zhang,

Wang

2023

Intelligent Information Processing With Matlab

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Towards automated homomorphic encryption parameter selection with fuzzy logic and linear programming

Cited by 3 publications

References 16 publications

Fuzzy logic method-based stress detector with blood pressure and body temperature parameters

Fuzzy logic method-based stress detector with blood pressure and body temperature parameters

Guidelines for Secure Process Control: Harnessing the Power of Homomorphic Encryption and State Feedback Control

Fuzzy Neural Network

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