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An Overview of Techniques for Confirming Big Data Property Rights

Authors:

Haijun ZhaoAuthors Info & Claims

ICIIT '18: Proceedings of the 2018 International Conference on Intelligent Information Technology

Pages 59 - 64

https://doi.org/10.1145/3193063.3193069

Published: 26 February 2018 Publication History

Abstract

The major premise of big data circulation is to identify the ownership of data resource. This paper summed some feasible techniques and methods for confirming big data property which are data citation technology, data provenance technology, data reversible hiding technology, computer forensic technology and block chain technology. The ownership of information property which from different sizes, different formats and different storage condition on distributed heterogeneous platforms can be confirmed by comprehensive application of these techniques and methods based on the coupling interface between them in the practice of big data.

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Cited By

Zhao HZhao BCheng S(2019)The Mechanism of Confirming Big Data Property Rights Based on Smart ContractProceedings of the 2019 4th International Conference on Intelligent Information Technology10.1145/3321454.3321461(78-82)Online publication date: 20-Feb-2019
https://dl.acm.org/doi/10.1145/3321454.3321461

Index Terms

An Overview of Techniques for Confirming Big Data Property Rights
1. Applied computing
  1. Law, social and behavioral sciences
    1. Economics

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ICIIT '18: Proceedings of the 2018 International Conference on Intelligent Information Technology

February 2018

76 pages

ISBN:9781450363785

DOI:10.1145/3193063

Copyright © 2018 ACM.

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Published: 26 February 2018

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National Social Science Fund of China

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ICIIT 2018

ICIIT 2018: 2018 International Conference on Intelligent Information Technology

February 26 - 28, 2018

Ha Noi, Viet Nam

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Cited By

Zhao HZhao BCheng S(2019)The Mechanism of Confirming Big Data Property Rights Based on Smart ContractProceedings of the 2019 4th International Conference on Intelligent Information Technology10.1145/3321454.3321461(78-82)Online publication date: 20-Feb-2019
https://dl.acm.org/doi/10.1145/3321454.3321461

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