Evidence map›Paper›PMID 40695896›Full record

ArticleScientific reports2025

Post-Quantum enhanced Ascon for secure vehicular IoT data integrity.

Bhuvaneshwari A J, Kaythry P, Kishore R, MuthuHarish R

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

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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
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Bhuvaneshwari A JDepartment of Electronics and Communication Engineering, Sri Sivasubramaniya Nadar College of Engineering, Rajiv Gandhi Salai, Kalavakkam, Chennai, 603110, Tamil Nadu, India. bhuvaneshwariaj@ssn.edu.in.ORCID http://orcid.org/0009-0004-3259-9422
Kaythry PDepartment of Electronics and Communication Engineering, Sri Sivasubramaniya Nadar College of Engineering, Rajiv Gandhi Salai, Kalavakkam, Chennai, 603110, Tamil Nadu, India.
Kishore RDepartment of Electronics and Communication Engineering, Sri Sivasubramaniya Nadar College of Engineering, Rajiv Gandhi Salai, Kalavakkam, Chennai, 603110, Tamil Nadu, India.
MuthuHarish REngineer 1 - Service Assurance - Managed Services, Comcast India Engineering Center I LLP, Chennai, 600097, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Secure vehicular communication is important in sustaining secure and effective transportation infrastructures. Advances in the Vehicular Internet of Things (VIoT) technology enable communication among vehicles as well as roadside facilities, offering effective traffic flow and security control. However, the vehicular networks are exposed to increased risks from cyberattacks, particularly from incoming quantum computers with the ability to interpret out-of-date conventional codes. This paper proposes a security solution based on post-quantum cryptography (PQC), which enhances Ascon encryption by adding quantum-proof key exchange. This method ensures secure authentication and protects against replay, sybil, collision, phishing, and man-in-the-middle attacks. A 32-bit Ascon hash coupled with SHA-512 provides data integrity. Investigations on resource-constrained vehicular environments confirm that the new scheme provides better performance, producing 128-512-bit keys in microseconds, much quicker than Kyber and Falcon. It also outperforms Ascon in hash rendering speed, completing a 256 × 256 grayscale image in 0.0782s, compared to 0.822s for standard Ascon, thereby emphasizing its ability to provide secure, immediate communication between vehicles in scenarios sensitive to quantum technologies. These observations show that the suggested approach is strongly secure and computationally efficient, and hence it is suitable for protecting future connected and autonomous vehicles from cyberattacks in the quantum era.

Indexed as

ASCONCybersecurityPost-quantum cryptographyQuantum HASHQuantum key distribution

Identifiers

PMID40695896
PMCPMC12284192

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LicenceCC BY-NC-ND
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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.