Publication Details
Survey of Privacy Enabling Strategies in IoT Networks
Hujňák Ondřej, Ing. (DITS FIT BUT)
Hanáček Petr, doc. Dr. Ing. (DITS FIT BUT)
Homoliak Ivan, Ing., Ph.D. (DITS FIT BUT)
Privacy; Anonymity; IoT; Internet of Things; LoRa; ZigBee
In this paper, we discuss privacy issues in modern networks for Internet of Things. We focus on anonymization of both devices and users in the context of both IP and non-IP networks.
We take a closer look on two current non-IP technologies -
LoRaWan and ZigBee. Those represent two distinct groups of
Internet of Things (IoT) networks - Low Power WANs covering
large areas and providing connectivity as a service, and Wireless PANs following traditional scheme with a local network interconnecting IoT devices.
For both IP and non-IP networks we analyze possible approaches to preserve privacy of connected devices and identify open problems for future investigation. We propose strategies for ensuring privacy for IoT devices in IP, LPWAN and PAN networks based on their specific features and analyze possible problems of suggested strategies.
@INPROCEEDINGS{FITPUB11565,
author = "Luk\'{a}\v{s} Hellebrandt and Ond\v{r}ej Huj\v{n}\'{a}k and Petr Han\'{a}\v{c}ek and Ivan Homoliak",
title = "Survey of Privacy Enabling Strategies in IoT Networks",
pages = "216--221",
booktitle = "Proceedings of the 2017 International Conference on Computer Science and Artificial Intelligence",
year = 2017,
location = "Jakarta, ID",
publisher = "Association for Computing Machinery",
ISBN = "978-1-4503-5392-2",
doi = "10.1145/3168390.3168440",
language = "english",
url = "https://www.fit.vut.cz/research/publication/11565"
}