Research Article
Reputation-Based Framework for Internet of Things
@INPROCEEDINGS{10.1007/978-3-319-73564-1_59, author={Juan Chen and Zhengkui Lin and Xin Liu and Zhian Deng and Xianzhi Wang}, title={Reputation-Based Framework for Internet of Things}, proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I}, proceedings_a={MLICOM}, year={2018}, month={2}, keywords={Internet of Things Reputation evaluation scheme Trust management}, doi={10.1007/978-3-319-73564-1_59} }- Juan Chen
Zhengkui Lin
Xin Liu
Zhian Deng
Xianzhi Wang
Year: 2018
Reputation-Based Framework for Internet of Things
MLICOM
Springer
DOI: 10.1007/978-3-319-73564-1_59
Abstract
Internet of Things (IoT) is going to create a world where physical objects are integrated into traditional networks in order to provide intelligent services for human-beings. Trust plays an important role in communications and interactions of objects in IoT. Two vital tasks of trust management are trust model design and reputation evaluation. However, current literature cannot be simply and directly applied to the IoT due to smart node hardware constraints, very limited computing and energy resources. Therefore a general and flexible model is needed to meet the special requirements for IoT. In this paper, we firstly design LTrust, a layered trust model for IoT. Then, a Reputation Evaluation Scheme for the Node (RES-N) has been presented. The proposed trust model and reputation evaluation scheme provide a general framework for the study of trust management for IoT. The efficiency of RES-N is validated by the simulation results.
