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Network Location Privacy Protection with Multi-access Edge Computing

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Advanced Information Networking and Applications (AINA 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 926))

Abstract

Real world incidents show leaking of communication and location privacy can lead to serious consequence. Many research efforts have tried to anonymize individual user from aggregated location data. However, just the communication between the mobile user and their peers could reveal important privacy of the mobile user, such as location history. In this paper, we proposed a scalable system built with Multi-access Edge (MEC) that can hide the mobile user’s network location and traffic from communication peers. This system creates a dynamic distributed proxy network for each mobile user to minimize performance overhead and operation cost.

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Acknowledgements

This work was partially supported by the National Science Foundation under Grant No. 1547411.

Author information

Authors and Affiliations

  1. Department of Computer and Information Science, Indiana University Purdue University Indianapolis, Indianapolis, IN, USA

    Ping Zhang & Arjan Durresi

  2. Department of Informatics, Mathematics and Statistics, European University of Tirana, Tirana, Albania

    Mimoza Durresi

Authors
  1. Ping Zhang
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  2. Mimoza Durresi
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  3. Arjan Durresi
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Corresponding author

Correspondence to Mimoza Durresi .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Advanced Sciences, Hosei University, Koganei-Shi, Tokyo, Japan

    Makoto Takizawa

  3. Department of Computer Science, Technical University of Catalonia, Barcelona, Barcelona, Spain

    Fatos Xhafa

  4. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

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Zhang, P., Durresi, M., Durresi, A. (2020). Network Location Privacy Protection with Multi-access Edge Computing. In: Barolli, L., Takizawa, M., Xhafa, F., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2019. Advances in Intelligent Systems and Computing, vol 926. Springer, Cham. https://doi.org/10.1007/978-3-030-15032-7_112

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