Applying Privacy-Aware Policies in IoT Devices Using Privacy Metrics

M. Tavakolan,Ismaeel A. Faridi

Published 2020 in International Conference on Communications, Computing, Cybersecurity, and Informatics

ABSTRACT

In recent years, user's privacy has become an important aspect in the development of Internet of Things (IoT) devices. However, there has been comparatively little research so far that aims to understanding user's privacy in connection with IoT. Many users are worried about protecting their personal information, which may be gathered by IoT devices. In this paper, we present a new method for applying the user's preferences within the privacy-aware policies in IoT devices. Users can prioritize a set of extendable privacy policies based on their preferences. This is achieved by assigning weights to these policies to form ranking criteria. A privacy-aware index is then calculated based on these ranking. In addition, IoT devices can be clustered based on their privacy-aware index value. In this paper, we present a new method for applying the user's preferences within the privacy-aware policies in IoT devices. Users can prioritize a set of extendable privacy policies based on their preferences. This is achieved by assigning weights to these policies to form ranking criteria. A privacy-aware index is then calculated based on these ranking. In addition, IoT devices can be clustered based on their privacy-aware index value.

PUBLICATION RECORD

  • Publication year

    2020

  • Venue

    International Conference on Communications, Computing, Cybersecurity, and Informatics

  • Publication date

    2020-11-03

  • Fields of study

    Computer Science, Engineering

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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CLAIMS

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CONCEPTS

  • No concepts are published for this paper.

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