@inproceedings{6cccdb64df294a51ab385619f06d658f,
title = "BDCP: A framework for big data copyright protection based on digital watermarking",
abstract = "In this study, we propose a general framework to protect big data copyright when processing data sharing. The framework consists of two parts: one is the storage of the copyright watermarks and data sharing records, and the other is watermark extraction and comparison. In order to achieve the purpose of data copyright protection, we embed copyright information into the data when data sharing using digital watermarking technology and adopt blockchain to store the data sharing record and watermarking. For the digital watermarking technology, we provide a algorithm suitable for big data, and our experiments demonstrate that the algorithm is robust to attacks.",
keywords = "Big data, Blockchain, Digital watermarking algorithm",
author = "Jingyue Yang and Haiquan Wang and Zhaoyi Wang and Jieyi Long and Bowen Du",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2018.; 11th International Conference on Security, Privacy and Anonymity in Computation, Communication, and Storage, SpaCCS 2018 ; Conference date: 11-12-2018 Through 13-12-2018",
year = "2018",
doi = "10.1007/978-3-030-05345-1\_30",
language = "英语",
isbn = "9783030053444",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "351--360",
editor = "Yang, \{Laurence T.\} and Guojun Wang and Jinjun Chen",
booktitle = "Security, Privacy, and Anonymity in Computation, Communication, and Storage - 11th International Conference and Satellite Workshops, SpaCCS 2018, Proceedings",
address = "德国",
}