Fog-based distributed trust and reputation management system for internet of things

Autor: Dina Shehada, Amjad Gawanmeh, M. Jamal Zemerly, Chan Yeob Yeun
Rok vydání: 2022
Předmět:
Zdroj: Journal of King Saud University - Computer and Information Sciences. 34:8637-8646
ISSN: 1319-1578
Popis: Internet of things (IoT) provides connectivity between different smart devices. IoT systems aim to make data collection, and processing easier. Studies show that we can expect over 75 billion IoT devices to be active by 2025. The increasing great interest in IoT systems is due to their ability to provide quality of services to end users. However, critical challenges may arise when they are deployed in various areas and applications. Among these issues are security, bandwidth, scalability, and network latency. In fact, security is one of the most critical issues in IoT application, this is due to the fact that IoT devices can have different computational capabilities, and might be as simple as sensors nodes, or as complex as smart device. hence it is not feasible to have standard security methods adopted for IoT devices. In this paper, we intend to propose a fog computing based trust and reputation system for IoT. Using fog nodes, each IoT device evaluates trust towards other IoT devices and will only proceed with communication if it meets a certain threshold value. This evaluation is necessary to eliminate any malicious devices from affecting the system and quality of service. It will also help protect the system from many attacks such as bad mouthing, on off, and self promoting attacks. Simulation results are provided to highlight the behavior of the system under these attacks. Moreover, the fog based structure will also provide faster and instantaneous services to users and overcome bandwidth and network latency issues. A framework for comparison is also proposed to evaluate the proposed model in comparison to the related work.
Databáze: OpenAIRE