4.8 Article

LBS Meets Blockchain: An Efficient Method With Security Preserving Trust in SAGIN

期刊

IEEE INTERNET OF THINGS JOURNAL
卷 9, 期 8, 页码 5932-5942

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2021.3064357

关键词

Blockchain-based trust model; location-based service (LBS); privacy security; space-air-ground integrated network (SAGIN); vehicle ad hoc network (VANET)

资金

  1. National Natural Science Foundation of China [61728204]
  2. Key Laboratory of SafetyCritical Software Ministry of Industry and Information Technolog [NJ2018014]
  3. Fundamental Research Funds for the Central Universities [NS2019001, NS2018057]
  4. Ford Motor URP Funding
  5. Guangzhou Science and Technology Program [202002030246]
  6. CCF-Huawei Database System Innovation Research Plan [CCFHUAWEIDBIR2020001A]

向作者/读者索取更多资源

In the Internet of Vehicles (IoV), a blockchain-based trust model is proposed to address the security concerns of Location-Based Services (LBS). The model employs a K-anonymous location privacy protection algorithm to hide users' real positions and a trust management algorithm to detect and eliminate malicious users. Additionally, blockchain is utilized to ensure system transparency and conditional anonymity.
In Internet of Vehicles (IoV), the vehicle ad hoc network (VANET) provides the location-based service (LBS) when vehicles communicate with the dynamic environment. As an integration of satellite systems and terrestrial communications, the space-air-ground integrated network (SAGIN) provides a reliable and efficient way for LBS. But the privacy protection in SAGIN cannot meet LBS security requirements well, so we present a blockchain-based LBS security preserving trust model. K-anonymous location privacy protection algorithm is used to hide users' real position so that users can avoid personal privacy disclosure when requesting LBSs. We propose a trust management algorithm which can detect the malicious behaviors when constructing anonymous regions and clear the malicious users out of the system. Besides, we use blockchain to implement the transparency and conditional anonymity of the system. Missive experiments indicate that our scheme is feasible and outperforms part of state-of-the-art privacy protection approaches.

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