Survey of Privacy Enabling Strategies in IoT Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F17%3APU127285" target="_blank" >RIV/00216305:26230/17:PU127285 - isvavai.cz</a>
Result on the web
<a href="https://dl.acm.org/citation.cfm?id=3168440" target="_blank" >https://dl.acm.org/citation.cfm?id=3168440</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3168390.3168440" target="_blank" >10.1145/3168390.3168440</a>
Alternative languages
Result language
angličtina
Original language name
Survey of Privacy Enabling Strategies in IoT Networks
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2017 International Conference on Computer Science and Artificial Intelligence
ISBN
978-1-4503-5392-2
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
216-221
Publisher name
Association for Computing Machinery
Place of publication
Jakarta
Event location
Jakarta
Event date
Nov 13, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000455681900040