Bagua Protocol: A Whole-Process Configurable Protocol for IoT Sensing Devices Security Based on Strong PUF

The Internet of Things (IoT) plays an important role in all aspects of production and day-to-day life. However, owing to the frequently trusted authentication vulnerabilities, the physical unclonable function (PUF) has unique advantages in the field of equipment authentication because of its non-sto...

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Bibliographic Details
Published in:IEEE internet of things journal 2024-01, Vol.11 (1), p.1-1
Main Authors: Zhou, Ziyu, Wang, Pengjun, Li, Gang
Format: Article
Language:English
Subjects:
Authentication
Bagua matrix encryption
device authentication
Encryption
Internet of Things
IoT sensing device
Machine learning
machine learning attacks
Model accuracy
Neurons
Physical unclonable function
Protocols
Security
Sensors
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Summary:The Internet of Things (IoT) plays an important role in all aspects of production and day-to-day life. However, owing to the frequently trusted authentication vulnerabilities, the physical unclonable function (PUF) has unique advantages in the field of equipment authentication because of its non-storage and non-volatility. Nevertheless, PUFs are vulnerable to machine learning (ML) attacks. Once a model is constructed accurately, the secrecy of the PUF is lost. Therefore, Bagua matrices are proposed in this study, which can greatly reduce the accuracy of modeling by encrypting the challenge information. On this basis, a whole-process configurable IoT sensing device protocol was constructed for authentication and transmission, and different matrix encryption methods were configured according to the needs of the different devices. Moreover, on the premise of trusted authentication, the perceptual information can be encrypted using a preset matrix. According to the implementation results of the scheme, the resistance to the ML attacks of the PUF improved significantly and the device authentication and encrypted transmission could operate normally.
ISSN:2327-4662
2327-4662
DOI:10.1109/JIOT.2023.3285930