Evidence map›Paper›PMID 36850676›Full record

ArticleSensors (Basel, Switzerland)2023

LPWAN Cyber Security Risk Analysis: Building a Secure IQRF Solution.

Mohammed Bouzidi, Ahmed Amro, Yaser Dalveren, Faouzi Alaya Cheikh, Mohammad Derawi

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Mohammed BouzidiDepartment of Electronic Systems, Norwegian University of Science and Technology, 2821 Gjøvik, Norway.ORCID 0000-0002-4858-7360
Ahmed AmroDepartment of Information Security and Communication Technology, Norwegian University of Science and Technology, 2821 Gjøvik, Norway.ORCID 0000-0002-3390-0772
Yaser DalverenDepartment of Electrical and Electronics Engineering, Atilim University, Incek Golbasi, 06830 Ankara, Turkey.ORCID 0000-0002-9459-0042
Faouzi Alaya CheikhDepartment of Computer Science, Norwegian University of Science and Technology, 2821 Gjøvik, Norway.
Mohammad DerawiDepartment of Electronic Systems, Norwegian University of Science and Technology, 2821 Gjøvik, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low-power wide area network (LPWAN) technologies such as IQRF are becoming increasingly popular for a variety of Internet of Things (IoT) applications, including smart cities, industrial control, and home automation. However, LPWANs are vulnerable to cyber attacks that can disrupt the normal operation of the network or compromise sensitive information. Therefore, analyzing cybersecurity risks before deploying an LPWAN is essential, as it helps identify potential vulnerabilities and threats as well as allowing for proactive measures to be taken to secure the network and protect against potential attacks. In this paper, a security risk analysis of IQRF technology is conducted utilizing the failure mode effects analysis (FMEA) method. The results of this study indicate that the highest risk corresponds to four failure modes, namely compromised end nodes, a compromised coordinator, a compromised gateway and a compromised communication between nodes. Moreover, through this methodology, a qualitative risk evaluation is performed to identify potential security threats in the IQRF network and propose countermeasures to mitigate the risk of cyber attacks on IQRF networks.

Indexed as

FMEAInternet of Things (IoT)IQRFLPWANsecurity

Identifiers

PMID36850676
PMCPMC9967461

What OpenQuestion holds

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LicenceCC BY
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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.