Evidence map›Paper›PMID 36081138›Full record

ReviewSensors (Basel, Switzerland)2022

In-Vehicle Communication Cyber Security: Challenges and Solutions.

Rajkumar Singh Rathore, Chaminda Hewage, Omprakash Kaiwartya, Jaime Lloret

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Revisiting Wireless Cyberattacks on Vehicles.Sensors (Basel, Switzerland) · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. 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.

Rajkumar Singh RathoreDepartment of Computer Science, Cardiff School of Technologies, Cardiff Metropolitan University, Cardiff Llandaff Campus, Cardiff CF5 2YB, UK.ORCID 0000-0003-4571-1888
Chaminda HewageDepartment of Computer Science, Cardiff School of Technologies, Cardiff Metropolitan University, Cardiff Llandaff Campus, Cardiff CF5 2YB, UK.ORCID 0000-0001-7593-6661
Omprakash KaiwartyaDepartment of Computer Science, Nottingham Trent University, Clifton Campus, Nottingham NG11 8NS, UK.ORCID 0000-0001-9669-8244
Jaime LloretDepartment of Communications, Universitat Politècnica de València, 46022 Valencia, Spain.ORCID 0000-0002-0862-0533

Funding

This research is funded by the Cybersecurity and Information Networks Centre (CINC) at Cardiff School of Technologies, Cardiff Metropolitan University, Cardiff, UK 00
6 · The paper itself

Abstract

In-vehicle communication has become an integral part of today's driving environment considering the growing add-ons of sensor-centric communication and computing devices inside a vehicle for a range of purposes including vehicle monitoring, physical wiring reduction, and driving efficiency. However, related literature on cyber security for in-vehicle communication systems is still lacking potential dedicated solutions for in-vehicle cyber risks. Existing solutions are mainly relying on protocol-specific security techniques and lacking an overall security framework for in-vehicle communication. In this context, this paper critically explores the literature on cyber security for in-vehicle communication focusing on technical architecture, methodologies, challenges, and possible solutions. In-vehicle communication network architecture is presented considering key components, interfaces, and related technologies. The protocols for in-vehicle communication have been classified based on their characteristics, and usage type. Security solutions for in-vehicle communication have been critically reviewed considering machine learning, cryptography, and port-centric techniques. A multi-layer secure framework is also developed as a protocol and use case-independent in-vehicle communication solution. Finally, open challenges and future dimensions of research for in-vehicle communication cyber security are highlighted as observations and recommendations.

Indexed as

Automobile DrivingComputer Securitycontroller area network (CAN)cryptographycyber attackscyber securityintrusion detection systemin-vehicle networkmachine learningsmart intelligent vehicles

Identifiers

PMID36081138
PMCPMC9460802

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.