QR code based authentication method for IoT applications using three security layers

Al-Ghaili, Abbas M.; Kasim, Hairoladenan; Othman, Marini; Hashim, Wahidah

doi:10.12928/telkomnika.v18i4.14748

Cited by 11 publications

(6 citation statements)

References 39 publications

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“…The latter was then employed in production‐to‐order scenarios of manufacturing enterprises. Al‐Ghaili [11] proposed a quick response code‐based authentication method (QRAM), which helps authenticate and secure IOT automatic access systems. Ren [12] conducted a study on the deployment of identity resolution systems in Industrial Internet of Things (IIOT), which provides a technical reference for the selection of identification and resolution systems.…”

Section: Introductionmentioning

confidence: 99%

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Comprehensive collaborative integration method for high‐voltage coil manufacturing workshop based on industrial internet identification and resolution

Zhang,

Sun,

Jiang

et al. 2024

IET Collab Intel Manufact

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The chaotic identification and resolution, inadequate data interoperability, and inefficient management of resources in the high‐voltage coil production workshop limited the effectiveness of its management, and posed significant challenges. To address this issue, the authors establish a comprehensive interconnected digital workshop for high‐voltage coil manufacturing based on Industrial Internet Identification and Resolution as well as the 5G technology. A comprehensive framework model is developed for the high‐voltage coil workshop, along with a formal modelling and tagging approach for objects within the high‐voltage coil workshop. In addition, a management shell modelling method for the complete set of resources in the high‐voltage coil workshop is explored. An analytical identification and interoperability mechanism for the full resource of the high‐voltage coil workshop is introduced. Furthermore, a trusted shared space is developed for the complete resource data of the high‐voltage coil workshop. Finally, a field validation is conducted within a specific high‐voltage coil production workshop. The obtained results demonstrate that the proposed methods and models facilitate the unified access, mutual integration, and efficient management of the entire resources within the high‐voltage coil workshop. These achievements serve as a crucial reference for the implementation and advancement of interconnected manufacturing workshops.

show abstract

Section: Introductionmentioning

confidence: 99%

“…The latter was then employed in production-to-order scenarios of manufacturing enterprises. Al-Ghaili [11] proposed a quick response code-based authentication method (QRAM), which helps authenticate and secure IOT automatic access systems.…”

mentioning

confidence: 99%

Comprehensive collaborative integration method for high‐voltage coil manufacturing workshop based on industrial internet identification and resolution

Zhang,

Sun,

Jiang

et al. 2024

IET Collab Intel Manufact

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show abstract

“…These QR codes are generated by the authorities or by the vehicle owner and essentially contain the necessary information about the vehicle (5) . When an individual or authority wants to identify a vehicle, it simply needs to scan the code using the smartphone camera or the code reader (6) . The QRVRS framework generally includes a QR code model, a centralized database, and users.…”

Section: Introductionmentioning

confidence: 99%

“…A study (6) precisely outlined the significant use of QRVRS and its advantages in vehicle authorization systems (e-SVAM). Another study (9) discussed a similar system by emphasizing the critical contribution of security features for users of such systems.…”

Section: Introductionmentioning

confidence: 99%

Designing an Intelligent QR Code-Based Mobile Application: A Novel Approach for Vehicle Identification and Authentication

Nasr,

Alsisi,

Mohiuddin

et al. 2023

IJST

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Objectives: To provide an efficient and secure method for verifying the authenticity of vehicles by using QR codes and adopting distributing computing in a mobile environment. Methods: The proposed mobile application utilizes the QR code as the unique identifier for vehicle verification. It employs an iterative model to develop the application. The system captures the QR code image using the mobile device's camera and processes it to extract the vehicle's relevant information. The extracted data is then validated and verified against the central database to ensure the legitimacy of the vehicle. Further, this approach collected participants' data, considered the technical parameters, and compared them with gold standards. Findings: The research findings demonstrate that the intelligent QR code-based mobile application is highly effective in identifying and authenticating vehicles. The system achieves high accuracy in decoding QR codes in current practices and successfully matches the extracted information with the database records, ensuring the genuineness of the vehicles. Novelty: This research introduces a novel approach to vehicle identification and authentication by leveraging distributed computing potentials and QR codes in a mobile environment. The integration of advanced image processing and machine learning techniques enhances the accuracy and reliability of the system compared to existing practices. This application provides an efficient platform for verifying the authenticity of vehicles.

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“…where these drone capture the accident scene from all angles before physical presence of people within less time [8], [9]. Drone are also utilized for fire-fighting purposes, package delivery, medical kit delivery on difficult sites where the human presence need more time [10], [11]. Figure 1 shows the drone enabled IoT networks and data communication process.…”

mentioning

confidence: 99%

Data communication for drone-enabled internet of things

Aldeen

Abdulhadi

2021

IJEECS

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<p><span>Internet of things (IoT) is one of the prominent emerged technology of interconnected devices for people convenient and smart services. Recent advancement in this area caused various new challenges especially deployment of infrastructure. In order to fulfill the network requirements, the dynamic and dedicated drone networks have designed as a cost effective and flexible solution. The technologies of IoT and drone are emerged to collect, forward the data for further process. Data communication among drones and IoT infrastructure is new area of research where various different existing protocol are used. However, still this area need attention due to mobility of drones, obstacles and interferences in these networks. This paper proposes a Drone enabled Data Communication for Internet of Things (DDC-IoT) as a data communication solution for IoT networks, data collection centers and drones. The proposed data commination solution is tested in simulation to analyze its performance especially for real time critical applications in terms of data throughput and data delay.</span></p>

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QR code based authentication method for IoT applications using three security layers

Cited by 11 publications

References 39 publications

Comprehensive collaborative integration method for high‐voltage coil manufacturing workshop based on industrial internet identification and resolution

Comprehensive collaborative integration method for high‐voltage coil manufacturing workshop based on industrial internet identification and resolution

Designing an Intelligent QR Code-Based Mobile Application: A Novel Approach for Vehicle Identification and Authentication

Data communication for drone-enabled internet of things

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