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A Blockchain Based Distributed Storage System for Knowledge Graph Security

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Artificial Intelligence and Security (ICAIS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12240))

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Abstract

With the rapid rise of artificial intelligence, knowledge graph has also been widely concerned, and the security of knowledge graph has also followed. In the process of knowledge graph construction, process files are easy to be tampered and forged by malicious, so that the reasoning results are biased. The purpose of this experiment is to explore the availability and effectiveness of knowledge graph based on blockchain and distributed system storage and traceability. This paper proposes a scheme of process file storage and traceability of knowledge graph based on blockchain and distributed file storage system. Firstly, the process files of building knowledge graph are preprocessed by distributed file system to improve the storage efficiency and save resources; then the processed files are stored in the blockchain network to ensure the security and integrity of the files.

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Acknowledgement

This research work is supposed by the National Key R&D Program of China (2018YFB1201500), National Natural Science Founds of China (61602376, 61773313, 61602374, 61702411), National Natural Science Founds of Shaanxi (2017JQ6020, 2016JQ6041), Key Research and Development Program of Shaanxi Province (2017ZDXM-GY-098, 2019TD-014), Science Technology Project of Shaanxi Education Department (16JK1573, 16JK1552).

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Correspondence to Yichuan Wang , Xinyue Yin , He Zhu or Xinhong Hei .

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Wang, Y., Yin, X., Zhu, H., Hei, X. (2020). A Blockchain Based Distributed Storage System for Knowledge Graph Security. In: Sun, X., Wang, J., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2020. Lecture Notes in Computer Science(), vol 12240. Springer, Cham. https://doi.org/10.1007/978-3-030-57881-7_29

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  • DOI: https://doi.org/10.1007/978-3-030-57881-7_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-57880-0

  • Online ISBN: 978-3-030-57881-7

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