Paper Info
Title
Context-Aware Trust and Reputation Model for Fog-Based IoT
Abstract
Trust and reputation are important terms whether the communication is Humans-to-Human (H2H), Human-Machine-Interaction (HMI) or Machine-to-Machine (M2M). As Cloud computing and the internet of things (IoT) bring new innovations, they also cause various security and privacy issues. As numerous devices are continuously integrating as a core part of IoT, it is necessarily important to consider various security issues such as the trustworthiness of a user or detection of a malicious user. Moreover, fog computing also known as edge computing is revolutionizing the Cloud-based IoT by providing the Cloud services at the edge of the network, which can provide aid in overcoming security, privacy and trust issues. In this work, we propose a context-aware trust evaluation model to evaluate the trustworthiness of a user in a Fog based IoT (FIoT). The proposed approach uses a context-aware multi-source trust and reputation based evaluation system which helps in evaluating the trustworthiness of a user effectively. Further, we use context-aware feedback and feedback crawler system which helps in making trust evaluation unbiased, effective and reliable. Furthermore, we introduce monitor mode for malicious/untrustworthy users, which helps in monitoring the behavior and trustworthiness of a user. The proposed approach uses several tunable factors, which can be tuned based on the system's requirements. The simulations and results indicate that our approach is effective and reliable to evaluate the trustworthiness of a user.
Year
DOI
Venue
2020
10.1109/ACCESS.2020.2972968
IEEE ACCESS
Keywords
DocType
Volume
Fog computing,internet of things,edge computing
Journal
8
ISSN
Citations 
PageRank 
2169-3536
0
0.34
References 
Authors
0
8
Name
Order
Citations
PageRank
Yasir Hussain121.72
Zhiqiu Huang229260.55
Muhammad Azeem Akbar300.34
Ahmed Alsanad483.24
Abeer Abdul-Aziz Alsanad500.34
Asif Nawaz631.39
Izhar Ahmed Khan773.49
Zaheer Khan817317.96