Detail publikace

Survey of Privacy Enabling Strategies in IoT Networks

HELLEBRANDT, L. HUJŇÁK, O. HANÁČEK, P. HOMOLIAK, I.

Originální název

Survey of Privacy Enabling Strategies in IoT Networks

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Privacy; Anonymity; IoT; Internet of Things; LoRa; ZigBee

Autoři

HELLEBRANDT, L.; HUJŇÁK, O.; HANÁČEK, P.; HOMOLIAK, I.

Vydáno

6. 12. 2017

Nakladatel

Association for Computing Machinery

Místo

Jakarta

ISBN

978-1-4503-5392-2

Kniha

Proceedings of the 2017 International Conference on Computer Science and Artificial Intelligence

Strany od

216

Strany do

221

Strany počet

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"
}