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Internet network location privacy protection with multi-access edge computing

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Abstract

Privacy is an increasing concern of mobile Internet users as both research and real-world incidents show that leaking of communication and location privacy can lead to severe consequences. Therefore much research has been done to anonymize individual users from aggregated location data. However, just the communication itself between a mobile user and their peers or website could collect considerable privacy of the mobile user, such as location history, to other parties. In this paper, we investigated the potential privacy risk of mobile Internet users, including the Internet of Things. We proposed a scalable system built on top of public cloud services that can hide a 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 costs.

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Acknowledgements

This work was partially supported by National Science Foundation under Grant No. 1547411 and National Institute of Food and Agriculture (NIFA) USDA Award 2017-67003-26057.

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Authors and Affiliations

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

    Ping Zhang & Arjan Durresi

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

    Mimoza Durresi

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  1. Ping Zhang
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  2. Mimoza Durresi
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  3. Arjan Durresi
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Correspondence to Arjan Durresi.

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Zhang, P., Durresi, M. & Durresi, A. Internet network location privacy protection with multi-access edge computing. Computing 103, 473–490 (2021). https://doi.org/10.1007/s00607-020-00860-3

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