A machine learning based scheme for enhancing the detection of position falsification attacks in vehicular ad hoc networks

Eslam Abdelkreem, Sherif Hussein, Ashraf Tammam

Open source

DOI
10.1038/s41598-026-39867-9
Published
3
Container
Scientific Reports
Publisher
Not recorded
Open access
yes

Credibility signals

uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-39867-9,
  title = {A machine learning based scheme for enhancing the detection of position falsification attacks in vehicular ad hoc networks},
  author = {Eslam Abdelkreem and Sherif Hussein and Ashraf Tammam},
  year = {2026},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-026-39867-9},
  url = {https://doi.org/10.1038/s41598-026-39867-9}
}

RIS

TY  - JOUR
TI  - A machine learning based scheme for enhancing the detection of position falsification attacks in vehicular ad hoc networks
AU  - Eslam Abdelkreem
AU  - Sherif Hussein
AU  - Ashraf Tammam
PY  - 2026
JO  - Scientific Reports
DO  - 10.1038/s41598-026-39867-9
UR  - https://doi.org/10.1038/s41598-026-39867-9
ER  - 

APA

Abdelkreem, E., Hussein, S., & Tammam, A. (2026). A machine learning based scheme for enhancing the detection of position falsification attacks in vehicular ad hoc networks. Scientific Reports. https://doi.org/10.1038/s41598-026-39867-9

Source records