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Location Privacy Protection in Distributed IoT Environments Based on Dynamic Sensor Node Clustering

1
School of Electrical and Computer Engineering, National Technical University of Athens and Greece, 15773 Athens, Greece
2
Institute of Communication and Computer Systems, 10682 Athens, Greece
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(13), 3022; https://doi.org/10.3390/s19133022
Received: 21 May 2019 / Revised: 25 June 2019 / Accepted: 2 July 2019 / Published: 9 July 2019
(This article belongs to the Special Issue Algorithm and Distributed Computing for the Internet of Things)
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Abstract

One of the most significant challenges in Internet of Things (IoT) environments is the protection of privacy. Failing to guarantee the privacy of sensitive data collected and shared over IoT infrastructures is a critical barrier that delays the wide penetration of IoT technologies in several user-centric application domains. Location information is the most common dynamic information monitored and lies among the most sensitive ones from a privacy perspective. This article introduces a novel mechanism that aims to protect the privacy of location information across Data Centric Sensor Networks (DCSNs) that monitor the location of mobile objects in IoT systems. The respective data dissemination protocols proposed enhance the security of DCSNs rendering them less vulnerable to intruders interested in obtaining the location information monitored. In this respect, a dynamic clustering algorithm is that clusters the DCSN nodes not only based on the network topology, but also considering the current location of the objects monitored. The proposed techniques do not focus on the prevention of attacks, but on enhancing the privacy of sensitive location information once IoT nodes have been compromised. They have been extensively assessed via series of experiments conducted over the IoT infrastructure of FIT IoT-LAB and the respective evaluation results indicate that the dynamic clustering algorithm proposed significantly outperforms existing solutions focusing on enhancing the privacy of location information in IoT. View Full-Text
Keywords: internet of things (IoT); data-centric sensor networks (DCSNs); wireless sensor networks; location privacy protection; dynamic node clustering; FIT-IoT lab internet of things (IoT); data-centric sensor networks (DCSNs); wireless sensor networks; location privacy protection; dynamic node clustering; FIT-IoT lab
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Dimitriou, K.; Roussaki, I. Location Privacy Protection in Distributed IoT Environments Based on Dynamic Sensor Node Clustering. Sensors 2019, 19, 3022.

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