The Internet of Things (IoT) is revolutionizing the IT sector and it is predicted that 20 billion IoT devices will be seamlessly connected to provide information to 3 billion Internet users by the end of 2020. This development has led to an increased use of resource-stripped devices with long-range wireless connectivity. Low Power Wide Area Networks (LPWAN) technologies are becoming very popular and are hitting a broad market. One of the most promising LPWAN technologies is Long range wide area networks (LoRaWAN). However, LoRaWAN suffers from several known vulnerabilities that should be considered before implementing a system using the technology. For example, The Swedish Transport Administration, as a use case provider, is interested in evaluating the possibility of an upgrade of their road weather information system from a wired infrastructure to a wireless implementation using LoRaWAN. A weather information system, with sensors measuring different weather related parameters, distributed over a wide area, is a perfect example of an application where LoRaWAN would be suitable in theory. The goal and purpose of this thesis is to evaluate how suitable LoRaWAN is to replace the wired infrastructure from a security point of view, and to find already known security vulnerabilities together with suggestions that should be known before implementing the system. To achieve this, information about well known security vulnerabilities and upgrades have been gathered from scientific databases such as IEEExplore, ScienceDirect and MDPI. The results indicates that there are some known vulnerabilities in the LoRaWAN join-procedure, roaming and device cloning. The results also show a few proposed solutions to the most prominent and well known of these vulnerabilities, such as an improved key management protocol and protection against device cloning. The thesis ends with a use case specific discussion about security vulnerabilities of LoRaWAN when implemented as in the suggested use case on road weather information.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:mdh-49103 |
| Date | January 2020 |
| Creators | Karlsson, Magnus |
| Publisher | Mälardalens högskola, Akademin för innovation, design och teknik |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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