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A Big Data Privacy Respecting Dissemination Method for Social Network

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Abstract

The increasing popularity of social networking makes the social network an important place for digital content dissemination and also brings new business models. The business application of social network needs a balance among these partially diverging interests of the involved parties: users, advertisers and the social network provider. So a contractual access control is needed to assure the three parties that the balance polices can be executed according to the predefined rules. The paper presents a new logic TS_u_Datalog to achieve the goal, a distributed logic incorporated with distributed temporal logic and active rules. The paper shows TS_u_Datalog is one of the most abundant and flexible datalog logic that can describe and execute contractual policies in the distributed and dynamic environment of social network. Firstly, the paper introduces the fundamental concepts, syntax and evaluation method of TS_u_Datalog. Secondly, application on digital content dissemination for social network is illuminated and a motivational example is presented to show the full-fledged temporal expressivity of the logic. Finally, a contrastive analysis is discussed and future works are planned.

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Acknowledgements

This paper is supported by the Natural Science Foundation of Guangdong(2015A030313638), the Frontier and Key Technology innovation of Guangdong(2016B010113004), the Science Research Project of Foshan University, The Characteristic Innovation Project of the Department of Education of Guangdong province under Grant Numbers 2016KTSCX147. The Youth Creative Talents Program of the Department of Education of Guangdong province under Grant Numbers 2015KQNCX179.

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Authors and Affiliations

  1. Electronic and Information Engineering School, Foshan University, Foshan, China

    Yingyu Huo, Li Ma & Yong Zhong

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  1. Yingyu Huo
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  2. Li Ma
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  3. Yong Zhong
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Correspondence to Li Ma.

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Huo, Y., Ma, L. & Zhong, Y. A Big Data Privacy Respecting Dissemination Method for Social Network. J Sign Process Syst 90, 467–475 (2018). https://doi.org/10.1007/s11265-017-1251-9

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  • DOI: https://doi.org/10.1007/s11265-017-1251-9

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