Publication Type
Journal Article
Version
publishedVersion
Publication Date
8-2019
Abstract
Internet of Things (IoT) represents a fundamental infrastructure and set of techniques that support innovative services in various application domains. Trust management plays an important role in enabling the reliable data collection and mining, context-awareness, and enhanced user security in the IoT. The main tasks of trust management include trust architecture design and reputation evaluation. However, existing trust architectures and reputation evaluation solutions cannot be directly applied to the IoT, due to the large number of physical entities, the limited computation ability of physical entities, and the highly dynamic nature of the network. In comparison, it generally requires a general and flexible architecture to manage trust in such a dynamic environment as IoT. In this paper, we present IoTrust, a trust architecture that integrates Soft Defined Network (SDN) in IoT, and a cross-layer authorization protocol based on IoTrust. IoTrust and the protocol together provide a new insight for research on trust management in the IoT. For trust establishment, we further propose a Behavior-based Reputation Evaluation Scheme for the Node (BES) and an Organization Reputation Evaluation Scheme (ORES). Both our theoretical analysis and simulation results validate the efficiency of BES and ORES.
Keywords
Internet of things, Sensors, Trust architecture, Reputation evaluation
Discipline
Databases and Information Systems | Systems Architecture
Research Areas
Data Science and Engineering
Publication
Journal of Ambient Intelligence and Humanized Computing
Volume
10
Issue
8
First Page
3099
Last Page
3107
ISSN
1868-5137
Identifier
10.1007/s12652-018-0887-z
Publisher
Springer (part of Springer Nature): Springer Open Choice Hybrid Journals
Citation
CHEN, Juan; TIAN, Zhihong; CUI, Xiang; YIN, Lihua; and WANG, Xianzhi.
Trust architecture and reputation evaluation for internet of things. (2019). Journal of Ambient Intelligence and Humanized Computing. 10, (8), 3099-3107.
Available at: https://ink.library.smu.edu.sg/sis_research/5144
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1007/s12652-018-0887-z