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.
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Acknowledgment
This research was supported by the Technology Project of Beijing Municipal Transportation Committee and the National Key R&D program under Grant No. 2016YFC0801700, Beijing Municipal Science and Technology Project No. Z171100000917016, the National Natural Science Foundation Project under Grant No. U1636208.
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Yang, J., Wang, H., Wang, Z., Long, J., Du, B. (2018). BDCP: A Framework for Big Data Copyright Protection Based on Digital Watermarking. In: Wang, G., Chen, J., Yang, L. (eds) Security, Privacy, and Anonymity in Computation, Communication, and Storage. SpaCCS 2018. Lecture Notes in Computer Science(), vol 11342. Springer, Cham. https://doi.org/10.1007/978-3-030-05345-1_30
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DOI: https://doi.org/10.1007/978-3-030-05345-1_30
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