Title
Formal security analysis of LoRaWAN.
Abstract
Recent Low Power Wide Area Networks (LPWAN) protocols are receiving increased attention from industry and academia to offer accessibility for Internet of Things (IoT) connected remote sensors and actuators. In this work, we present a formal study of LoRaWAN security, an increasingly popular technology, which defines the structure and operation of LPWAN networks based on the LoRa physical layer. There are previously known security vulnerabilities in LoRaWAN that lead to the proposal of several improvements, some already incorporated into the latest protocol specification. Our analysis of LoRaWAN security uses Scyther, a formal security analysis tool and focuses on the key exchange portion of versions 1.0 (released in 2015) and 1.1 (the latest, released in 2017). For version 1.0, which is still the most widely deployed version of LoRaWAN, we show that our formal model allowed to uncover weaknesses that can be related to previously reported vulnerabilities. Our model did not find weaknesses in the latest version of the protocol (v1.1), and we discuss what this means in practice for the security of LoRaWAN as well as important aspects of our model and tools employed that should be considered. The Scyther model developed provides realistic models for LoRaWAN v1.0 and v1.1 that can be used and extended to formally analyze, inspect, and explore the security features of the protocols. This, in turn, can clarify the methodology for achieving secrecy, integrity, and authentication for designers and developers interested in these LPWAN standards. We believe that our model and discussion of the protocols security properties are beneficial for both researchers and practitioners. To the best of our knowledge, this is the first work that presents a formal security analysis of LoRaWAN.
Year
DOI
Venue
2019
10.1016/j.comnet.2018.11.017
Computer Networks
Keywords
Field
DocType
LoRaWAN,IoT,Scyther verification
Authentication,Key exchange,Computer security,Computer science,Secrecy,Internet of Things,Computer network,Security analysis,Physical layer,LPWAN,Vulnerability
Journal
Volume
ISSN
Citations 
148
1389-1286
5
PageRank 
References 
Authors
0.53
12
4
Name
Order
Citations
PageRank
Mohamed Eldefrawy181.24
Butun, Ismail2203.27
Nuno Pereira327320.55
Mikael Gidlund452352.95