Paper
10 May 2019 Detection of changes in the qualitative parameters for LoRaWAN and SigFox network
Erik Gresak, Jakub Jalowiczor, Jan Rozhon, Filip Rezac, Jakub Safarik
Author Affiliations +
Abstract
It is estimated, that the number of connected Internet of Things (IoT) devices around the world could increase dramatically, with expectations ranging from 25 billion to 50 billion devices in 2025. As the IoT area is wider and wider and the number of connected IoT devices is higher every day, it appears that the issue of security is more up to date. The paper deals with LoRaWAN and Sigfox networks belonging to the LPWAN (Low Power Wide Area Network) category, where we focus on detection of the end device movement in a network based on the qualitative parameters of a radio signal. The result of this work is a software solution to notice the owner of the end device about the location change. As a testbed, we use LoRaWAN network, which is part of the infrastructure covering the area of Czech Republic. For Sigfox solution we use the public network provided by SimpleCell company and own solution to show actual parameters with which base station received messages. Detection serves as a measure against an attacker performing a spoofing attack or the physical movement of a statically-located end device activated by authentication methods. Based on the experimental simulation of the attacker's behavior, we have summed up the attack into individual points, according to which we subsequently constructed a countermeasure principle in the form of detection. This principle was applied to an algorithm that could be integrated into the gateway in case of LoRaWAN network and implemented as a separate element for Sigfox solution.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Erik Gresak, Jakub Jalowiczor, Jan Rozhon, Filip Rezac, and Jakub Safarik "Detection of changes in the qualitative parameters for LoRaWAN and SigFox network", Proc. SPIE 11013, Disruptive Technologies in Information Sciences II, 110130S (10 May 2019); https://doi.org/10.1117/12.2518853
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Sensors

Network architectures

Network security

Telecommunications

Detector development

Signal to noise ratio

Data communications

RELATED CONTENT


Back to Top