Evidence map›Paper›PMID 39275376›Full record

ArticleSensors (Basel, Switzerland)2024

Security Evaluation of Companion Android Applications in IoT: The Case of Smart Security Devices.

Ashley Allen, Alexios Mylonas, Stilianos Vidalis, Dimitris Gritzalis

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ashley AllenCybersecurity and Computing Systems Research Group, Department of Computer Science, University of Hertfordshire, Hatfield, AL10 9AB, UK.
Alexios MylonasCybersecurity and Computing Systems Research Group, Department of Computer Science, University of Hertfordshire, Hatfield, AL10 9AB, UK.ORCID 0000-0001-8819-5831
Stilianos VidalisCybersecurity and Computing Systems Research Group, Department of Computer Science, University of Hertfordshire, Hatfield, AL10 9AB, UK.
Dimitris GritzalisDepartment of Informatics, Athens University of Economics and Business (AUEB), 76 Patission Ave., GR-10434 Athens, Greece.ORCID 0000-0002-7793-6128

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smart security devices, such as smart locks, smart cameras, and smart intruder alarms are increasingly popular with users due to the enhanced convenience and new features that they offer. A significant part of this convenience is provided by the device's companion smartphone app. Information on whether secure and ethical development practices have been used in the creation of these applications is unavailable to the end user. As this work shows, this means that users are impacted both by potential third-party attackers that aim to compromise their device, and more subtle threats introduced by developers, who may track their use of their devices and illegally collect data that violate users' privacy. Our results suggest that users of every application tested are susceptible to at least one potential commonly found vulnerability regardless of whether their device is offered by a known brand name or a lesser-known manufacturer. We present an overview of the most common vulnerabilities found in the scanned code and discuss the shortcomings of state-of-the-art automated scanners when looking at less structured programming languages such as C and C++. Finally, we also discuss potential methods for mitigation, and provide recommendations for developers to follow with respect to secure coding practices.

Indexed as

AndroidcybersecurityIoTSASTsmart homesoftware development

Identifiers

PMID39275376
PMCPMC11398053

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.