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HELLEBRANDT, L.; HUJŇÁK, O.; HANÁČEK, P.; HOMOLIAK, I.
Original Title
Survey of Privacy Enabling Strategies in IoT Networks
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
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 ofInternet of Things (IoT) networks - Low Power WANs coveringlarge 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.
English abstract
Keywords
Privacy; Anonymity; IoT; Internet of Things; LoRa; ZigBee
Key words in English
Authors
RIV year
2018
Released
06.12.2017
Publisher
Association for Computing Machinery
Location
Jakarta
ISBN
978-1-4503-5392-2
Book
Proceedings of the 2017 International Conference on Computer Science and Artificial Intelligence
Pages from
216
Pages to
221
Pages count
6
URL
https://dl.acm.org/citation.cfm?id=3168440
BibTex
@inproceedings{BUT146271, author="Lukáš {Hellebrandt} and Ondřej {Hujňák} and Petr {Hanáček} and Ivan {Homoliak}", title="Survey of Privacy Enabling Strategies in IoT Networks", booktitle="Proceedings of the 2017 International Conference on Computer Science and Artificial Intelligence", year="2017", pages="216--221", publisher="Association for Computing Machinery", address="Jakarta", doi="10.1145/3168390.3168440", isbn="978-1-4503-5392-2", url="https://dl.acm.org/citation.cfm?id=3168440" }
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