@inproceedings{13dfd7a038884217907cc1dfb0a52786,
title = "An Edge Trajectory Protection Approach Using Blockchain",
abstract = "With the popularity of edge-based trajectory applications, application providers have accumulated a large amount of user trajectory data. However, direct use of trajectory data containing rich privacy information has the risk of leaking user privacy. In this paper, we propose an edge trajectory protection approach using the technique of blockchain. This protection mechanism not only takes account of users information protection and identity authentication in block generation, but considers the screening mechanism to ensure the integrity of most authorized nodes. We propose trajectory entropy suppression method that combines it with a cost function evaluation sequence and achieve collaboration between regions by deploying smart contracts. Our experimental results demonstrate the efficiency and effectiveness of our proposed model.",
keywords = "Anonymity, Blockchain, Edge trajectory, Location privacy",
author = "Meiquan Wang and Guangshun Li and Yue Zhang and Keke Gai and Meikang Qiu",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 14th International Conference on Knowledge Science, Engineering and Management, KSEM 2021 ; Conference date: 14-08-2021 Through 16-08-2021",
year = "2021",
doi = "10.1007/978-3-030-82153-1_53",
language = "English",
isbn = "9783030821524",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "647--658",
editor = "Han Qiu and Cheng Zhang and Zongming Fei and Meikang Qiu and Sun-Yuan Kung",
booktitle = "Knowledge Science, Engineering and Management - 14th International Conference, KSEM 2021, Proceedings",
address = "Germany",
}