Context-Aware Trust and Reputation Model for Fog-Based IoT
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 device...
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doaj-c24a0efce8204e6a85dc14481c25a9302021-03-30T01:21:09ZengIEEEIEEE Access2169-35362020-01-018316223163210.1109/ACCESS.2020.29729688990136Context-Aware Trust and Reputation Model for Fog-Based IoTYasir Hussain0https://orcid.org/0000-0001-7318-8137Huang Zhiqiu1https://orcid.org/0000-0001-6843-1892Muhammad Azeem Akbar2https://orcid.org/0000-0002-6880-4991Ahmed Alsanad3https://orcid.org/0000-0003-0870-1285Abeer Abdul-Aziz Alsanad4Asif Nawaz5https://orcid.org/0000-0003-0877-2219Izhar Ahmed Khan6https://orcid.org/0000-0001-7180-8179Zaheer Ullah Khan7https://orcid.org/0000-0003-2263-6109College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaCollege of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaCollege of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaDepartment of Information Systems, Research Chair of Artificial Intelligence (RCAI), College of Computer and Information Sciences, King Saud University, Riyadh, Saudi ArabiaInformation Systems Department, College of Computer and Information Sciences, Imam Muhammad Ibn-Saud Islamic University, Riyadh, Saudi ArabiaCollege of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaCollege of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaCollege of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaTrust 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.https://ieeexplore.ieee.org/document/8990136/Fog computinginternet of thingsedge computing |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yasir Hussain Huang Zhiqiu Muhammad Azeem Akbar Ahmed Alsanad Abeer Abdul-Aziz Alsanad Asif Nawaz Izhar Ahmed Khan Zaheer Ullah Khan |
spellingShingle |
Yasir Hussain Huang Zhiqiu Muhammad Azeem Akbar Ahmed Alsanad Abeer Abdul-Aziz Alsanad Asif Nawaz Izhar Ahmed Khan Zaheer Ullah Khan Context-Aware Trust and Reputation Model for Fog-Based IoT IEEE Access Fog computing internet of things edge computing |
author_facet |
Yasir Hussain Huang Zhiqiu Muhammad Azeem Akbar Ahmed Alsanad Abeer Abdul-Aziz Alsanad Asif Nawaz Izhar Ahmed Khan Zaheer Ullah Khan |
author_sort |
Yasir Hussain |
title |
Context-Aware Trust and Reputation Model for Fog-Based IoT |
title_short |
Context-Aware Trust and Reputation Model for Fog-Based IoT |
title_full |
Context-Aware Trust and Reputation Model for Fog-Based IoT |
title_fullStr |
Context-Aware Trust and Reputation Model for Fog-Based IoT |
title_full_unstemmed |
Context-Aware Trust and Reputation Model for Fog-Based IoT |
title_sort |
context-aware trust and reputation model for fog-based iot |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2020-01-01 |
description |
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. |
topic |
Fog computing internet of things edge computing |
url |
https://ieeexplore.ieee.org/document/8990136/ |
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