Evidence map›Paper›PMID 35590817›Full record

ReviewSensors (Basel, Switzerland)2022

LoRaWAN Physical Layer-Based Attacks and Countermeasures, A Review.

Henri Ruotsalainen, Guanxiong Shen, Junqing Zhang, Radek Fujdiak

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Henri RuotsalainenInstitute of IT Security Research, St. Pölten University of Applied Sciences, Campus-Platz 1, 3100 St. Pölten, Austria.ORCID 0000-0003-2282-5575
Guanxiong ShenDepartment of Electrical Engineering and Electronics, University of Liverpool, Liverpool L69 3GJ, UK.
Junqing ZhangDepartment of Electrical Engineering and Electronics, University of Liverpool, Liverpool L69 3GJ, UK.ORCID 0000-0002-3502-2926
Radek FujdiakDepartment of Telecommunications, Brno University of Technology, Technicka 12, 61600 Brno, Czech Republic.ORCID 0000-0002-8319-0633

Funding

Amt der Niederösterreichischen Landesregierung WST3-F-5031516/005-2019
6 · The paper itself

Abstract

As LoRaWAN is one of the most popular long-range wireless protocols among low-power IoT applications, more and more focus is shifting towards security. In particular, physical layer topics become relevant to improve the security of LoRaWAN nodes, which are often limited in terms of computational power and communication resources. To this end, e.g., detection methods for wireless attacks improve the integrity and robustness of LoRaWAN access. Further, wireless physical layer techniques have potential to enhance key refreshment and device authentication. In this work, we aim to provide a comprehensive review of various vulnerabilities, countermeasures and security enhancing features concerning the LoRaWAN physical layer. Afterwards, we discuss the impact of the reviewed topics on LoRaWAN security and, subsequently, we identify research gaps as well as promising future research directions.

Indexed as

Communicationhardware securityLoRaWANphysical layersecurityvulnerabilities

Identifiers

PMID35590817
PMCPMC9100101

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.