Decentralized Trust Evaluation in Vehicular Internet of Things

Siri Guleng; Celimuge Wu; Xianfu Chen; Xiaoyan Wang; Tsutomu Yoshinaga; Yusheng Ji

doi:10.1109/ACCESS.2019.2893262

Decentralized Trust Evaluation in Vehicular Internet of Things

Siri Guleng
, Celimuge Wu^*
, Xianfu Chen
, Xiaoyan Wang
, Tsutomu Yoshinaga
, Yusheng Ji

^*Corresponding author for this work

Research output: Contribution to journal › Article › Scientific › peer-review

98 Citations (Scopus)

Abstract

Trust management in a decentralized vehicular network, such as vehicular ad hoc network, is particularly challenging due to the lack of centralized communication infrastructure and a fast varying feature of the vehicular environment. In this paper, we propose a decentralized trust management scheme for vehicular networks. The proposed scheme uses a fuzzy logic-based trust calculation approach to evaluate the direct trust where trustee nodes are located within the transmission range of a trustor node. A reinforcement learning-based approach is also employed to estimate the indirect trust where the behaviors of trustee cannot be observed directly. The extensive simulations are conducted to show the advantage of the proposed scheme over other baseline approaches.

Original language	English
Article number	8616885
Pages (from-to)	15980-15988
Journal	IEEE Access
Volume	7
DOIs	https://doi.org/10.1109/ACCESS.2019.2893262
Publication status	Published - 17 Jan 2019
MoE publication type	A1 Journal article-refereed

Funding

This work was supported in part by the Inner Mongolia Science and Technology Major Project, in part by the National Institute of Informatics, Japan, through the Open Collaborative Research Program under Grant FY2018, in part by the Telecommunications Advanced Foundation, and in part by JSPS KAKENHI under Grant 16H02817, Grant 16K00121, and Grant 17K12670.

Keywords

fuzzy logic
Q-learning
trust management
vehicular ad hoc networks

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10.1109/ACCESS.2019.2893262

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title = "Decentralized Trust Evaluation in Vehicular Internet of Things",

abstract = "Trust management in a decentralized vehicular network, such as vehicular ad hoc network, is particularly challenging due to the lack of centralized communication infrastructure and a fast varying feature of the vehicular environment. In this paper, we propose a decentralized trust management scheme for vehicular networks. The proposed scheme uses a fuzzy logic-based trust calculation approach to evaluate the direct trust where trustee nodes are located within the transmission range of a trustor node. A reinforcement learning-based approach is also employed to estimate the indirect trust where the behaviors of trustee cannot be observed directly. The extensive simulations are conducted to show the advantage of the proposed scheme over other baseline approaches.",

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author = "Siri Guleng and Celimuge Wu and Xianfu Chen and Xiaoyan Wang and Tsutomu Yoshinaga and Yusheng Ji",

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AU - Wu, Celimuge

AU - Chen, Xianfu

AU - Wang, Xiaoyan

AU - Yoshinaga, Tsutomu

AU - Ji, Yusheng

PY - 2019/1/17

Y1 - 2019/1/17

N2 - Trust management in a decentralized vehicular network, such as vehicular ad hoc network, is particularly challenging due to the lack of centralized communication infrastructure and a fast varying feature of the vehicular environment. In this paper, we propose a decentralized trust management scheme for vehicular networks. The proposed scheme uses a fuzzy logic-based trust calculation approach to evaluate the direct trust where trustee nodes are located within the transmission range of a trustor node. A reinforcement learning-based approach is also employed to estimate the indirect trust where the behaviors of trustee cannot be observed directly. The extensive simulations are conducted to show the advantage of the proposed scheme over other baseline approaches.

AB - Trust management in a decentralized vehicular network, such as vehicular ad hoc network, is particularly challenging due to the lack of centralized communication infrastructure and a fast varying feature of the vehicular environment. In this paper, we propose a decentralized trust management scheme for vehicular networks. The proposed scheme uses a fuzzy logic-based trust calculation approach to evaluate the direct trust where trustee nodes are located within the transmission range of a trustor node. A reinforcement learning-based approach is also employed to estimate the indirect trust where the behaviors of trustee cannot be observed directly. The extensive simulations are conducted to show the advantage of the proposed scheme over other baseline approaches.

KW - fuzzy logic

KW - Q-learning

KW - trust management

KW - vehicular ad hoc networks

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DO - 10.1109/ACCESS.2019.2893262

M3 - Article

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SP - 15980

EP - 15988

JO - IEEE Access

JF - IEEE Access

M1 - 8616885

ER -

Decentralized Trust Evaluation in Vehicular Internet of Things

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Keywords

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