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International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage

SpaCCS 2016: Security, Privacy, and Anonymity in Computation, Communication, and Storage pp 305–318Cite as

Privacy Protection in Mobile Recommender Systems: A Survey

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Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 10066))

Abstract

A Mobile Recommender System (MRS) is a system that provides personalized recommendations for mobile users. It solves the problem of information overload in a mobile environment with the support of a smart mobile device. MRS has three fundamental characteristics relevant to the mobile Internet: mobility, portability and wireless connectivity. MRS aims to generate accurate recommendations by utilizing detailed personal data and extracting user preferences. However, collecting and processing personal data may intrude user privacy. The privacy issues in MRS are more complex than traditional recommender system due to its specific characteristics and various personal data collection. Privacy protection in MRS is a crucial research topic, which is widely studied in the literature, but it still lacks a comprehensive survey to summarize its current status and indicate open research issues for further investigation. This paper reviews existing work in MRS in terms of privacy protection. Challenges and future research directions are discussed based on the literature survey.

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Acknowledgments

This work is sponsored by the National Key Research and Development Program of China (grant 2016YFB0800704), the NSFC (grants 61672410 and U1536202), the 111 project (grants B08038 and B16037), the Ph.D. Programs Foundation of Ministry of Education of China (grant JY0300130104), the Project Supported by Natural Science Basic Research Plan in Shaanxi Province of China (Program No. 2016ZDJC-06), and Aalto University.

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Authors and Affiliations

  1. The State Key Laboratory on Integrated Services Networks, School of Cyber Engineering, Xidian University, Xi’an, 710071, China

    Kun Xu & Zheng Yan

  2. Department of Communications and Networking, Aalto University, Espoo, 02150, Finland

    Zheng Yan

Authors
  1. Kun Xu
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  2. Zheng Yan
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Corresponding author

Correspondence to Zheng Yan .

Editor information

Editors and Affiliations

  1. Guangzhou University, Guangzhou, China

    Guojun Wang

  2. Department of Computer Science, Colorado State University, Fort Collins, Colorado, USA

    Indrakshi Ray

  3. University of the West of Scotland, Paisley, Glasgow, United Kingdom

    Jose M. Alcaraz Calero

  4. Indian Institute of Information Technology and Management, Kerala (IIITMK), Trivandrum, Kerala, India

    Sabu M. Thampi

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© 2016 Springer International Publishing AG

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Xu, K., Yan, Z. (2016). Privacy Protection in Mobile Recommender Systems: A Survey. In: Wang, G., Ray, I., Alcaraz Calero, J., Thampi, S. (eds) Security, Privacy, and Anonymity in Computation, Communication, and Storage. SpaCCS 2016. Lecture Notes in Computer Science(), vol 10066. Springer, Cham. https://doi.org/10.1007/978-3-319-49148-6_26

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  • DOI: https://doi.org/10.1007/978-3-319-49148-6_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49147-9

  • Online ISBN: 978-3-319-49148-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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