Proof of concept for lightweight PUF-based authentication protocol using NodeMCU ESP8266

Mispan, Mohd Syafiq; Jidin, Auzani; Kamaruddin, Muhammad Raihaan; Nasir, Haslinah Mohd

doi:10.11591/ijeecs.v24.i3.pp1392-1398

Cited by 3 publications

(4 citation statements)

References 20 publications

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“…The system is designed to monitor LPG pressure. The NodeMCU microcontroller [8], [9], [33]- [36] then processes the pressure value from the LPG cylinder read by the pressure sensor. If the pressure value in Figure 3 is 5 psi, then the green LED indicator on the Blynk application lights up.…”

Section: Lpg Gas Monitoring System Flowchartmentioning

confidence: 99%

“…The public can also monitor something without looking directly at it. The internet of things (IoT) [4]- [8] works by utilizing a programming argument, where each program command can produce an interaction between the microcontroller and other devices [4], [5], [7], [9], [10]. IoT devices have been automatically connected without human intervention and without regard for distance [3], [11]- [13].…”

Section: Introductionmentioning

confidence: 99%

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Internet of things with NodeMCU ESP8266 for MPX-5700AP sensor-based LPG pressure monitoring

Sutikno,

Ar-Rasyid,

Wahono

et al. 2023

IJAAS

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The use of liquefied petroleum gas (LPG) cylinders as fuel has become a basic need for the community. LPG is more efficient than oil stoves, but LPG also poses a danger. The dangers contained in gas cylinders cause users to be afraid to check the availability of gas in cylinders because the checking process must be directly close to the gas cylinder. Because of this danger, users do not check gas availability, causing it to run out of gas when cooking. To solve this problem, a system is needed to detect the availability of LPG contents, which can be monitored remotely so that users will feel safe because they are not close to gas cylinders. The condition of gas cylinder availability can be remotely monitored using the internet of things (IoT) method. Therefore, an IoT-based LPG pressure monitoring tool was designed. A tool designed using the MPX-5700AP sensor is useful for detecting gas pressure values in LPG cylinders. IoT is used to monitor LPG pressure using the Blynk application. The buzzer module is a tool for sending sound signals as information on the condition of gas cylinders. The NodeMCU ESP8266 microcontroller processes and sends data to the Blynk application. System testing is carried out in three conditions: full, close to empty, and empty. The results of this test showed an error value of 3.41% and an accuracy rate of 96.59%.

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Section: Lpg Gas Monitoring System Flowchartmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Internet of things with NodeMCU ESP8266 for MPX-5700AP sensor-based LPG pressure monitoring

Sutikno,

Ar-Rasyid,

Wahono

et al. 2023

IJAAS

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“…The ESP8266 module is one type of Internet of Things (IoT) device. IoT can be defined as the ability of multiple devices or things to communicate and connect with each other, exchanging data through the internet network (Macheso et al, 2022;Msekh & Msekh, 2022;Mispan et al, 2021). The ESP8266 microcontroller module is equipped with a processor, memory, and GPIO device, with the number of pins depending on the specific type of ESP8266 used (Sutikno et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Development of STEAM-Based Rain Alarm Prototype

Pristianti

Hariyono

Wulandari

2022

Stud. Learn. Teach.

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The sudden changes in weather and unpredictable rain have an impact on human life. The objective of this research is to analyze the effectiveness and sensitivity of a rain alarm prototype and its relationship with STEAM. This study employs the ADDIE model (Analysis, Design, Development or Production, Implementation or Delivery, and Evaluations). Then, the benefits will be applied in student learning by teachers through global warming education with an environmental awareness theme. From this research, the following findings were discovered: 1) The rain alarm prototype has a high effectiveness, where each component used was successfully processed and utilized; 2) the sensitivity level revealed that the water, temperature, and humidity sensors have high sensitivity; 3) the relationship between the prototype and STEAM lies in the science aspect, as measured parameters were approached scientifically, the technology aspect through the utilization of the ThingSpeak application, engineering aspect through the collaboration of three different sensors (water, temperature, humidity), and analyzing their contributions in the field of classroom learning. In terms of art, the sensor components are neatly packaged and a housing is also created as an example of installation. Mathematics is found in the coding within the Arduino application. However, a limitation of the research is the inability to utilize an automatic roof system, which means that it cannot automatically lift snacks/clothes during rainfall. Therefore, future research can further develop this prototype by incorporating an automatic roof system.

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“…Hence, before the exchange messages occur, the sensor nodes must be authenticated by the sink to ensure their authenticity. WSN can be developed using NodeMCU ESP8266 devices [19], [20]. Therefore, in this study, we design a computational model of PUF in NodeMCU ESP8266 using an artificial neural network (ANN) to enable the lightweight authentication protocol development in WSN.…”

mentioning

confidence: 99%

Modeling arbiter-PUF in NodeMCU ESP8266 using artificial neural network

Mispan

Jidin

Nasir

et al. 2022

IJRES

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<p>A hardware fingerprinting primitive known as physical unclonable function (PUF) has a huge potential for secret-key cryptography and identification/authentication applications. The hardware fingerprint is manifested by the random and unique binary strings extracted from the integrated circuit (IC) which exist due to inherent process variations during its fabrication. PUF technology has a huge potential to be used for device identification and authentication in resource-constrained internet of things (IoT) applications such as wireless sensor networks (WSN). A secret computational model of PUF is suggested to be stored in the verifier’s database as an alternative to challenge and response pairs (CRPs) to reduce area consumption. Therefore, in this paper, the design steps to build a PUF model in NodeMCU ESP8266 using an artificial neural network (ANN) are presented. Arbiter-PUF is used in our study and NodeMCU ESP8266 is chosen because it is suitable to be used as a sensor node or sink in WSN applications. ANN with a resilient back-propagation training algorithm is used as it can model the non-linearity with high accuracy. The results show that ANN can model the arbiter-PUF with approximately 99.5% prediction accuracy and the PUF model only consumes 309,889 bytes of memory space.</p>

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Proof of concept for lightweight PUF-based authentication protocol using NodeMCU ESP8266

Cited by 3 publications

References 20 publications

Internet of things with NodeMCU ESP8266 for MPX-5700AP sensor-based LPG pressure monitoring

Internet of things with NodeMCU ESP8266 for MPX-5700AP sensor-based LPG pressure monitoring

Development of STEAM-Based Rain Alarm Prototype

Modeling arbiter-PUF in NodeMCU ESP8266 using artificial neural network

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