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Research.fi
Article . 2020 . Peer-reviewed
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On Track of Sigfox Confidentiality with End-to-End Encryption

Authors: Radek Fujdiak; Petr Blazek; Konstantin Mikhaylov; Lukas Malina; Petr Mlynek; Jiri Misurec; Vojtech Blazek;

On Track of Sigfox Confidentiality with End-to-End Encryption

Abstract

The last years brought many novel challenges for the Internet of Things (IoT). Low capital and operational expenditures, massive deployments of devices, reliability and security are among the most crucial ones. The recently introduced Low-power wide area (LPWA) technologies provide one possible way of addressing these challenges. In the current paper, we focus on one of the most mature LPWA technology, namely Sigfox. We provide a brief security assessment of this technology and highlight the main security imperfections. Notably, we also consider the recent changes introduced in the last revision of the Sigfox specification released in the fourth quarter of 2017. Importantly, this paper discusses the highlighted issues and compares three selected cryptographic encryption solutions (AES, ChaCha and OTP) in respect to the main IoT triad of performance, security and cost. We investigate the encryption solutions and characterize their energy consumption in a real-life implementation. The results herein presented are useful for understanding the cost of enabling security aspects and enable selecting the most efficient encryption protocol.

Country
Finland
Keywords

IoT, AES, One time pad, LPWAN, Low-power, Sigfox, Security, Encryption, ChaCha, Symmetric cipher

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
27
Top 10%
Top 10%
Top 10%
Green