Enhancing autonomous vehicle security in intelligent transportation systems through quantum computing and optimisation based federated learning

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Authors

Publication Details

Journal
International Journal of Heavy Vehicle Systems
Published
2025-01-01
DOI
https://doi.org/10.1504/ijhvs.2025.10071425
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing autonomous vehicle security in intelligent transportation systems through quantum computing and optimisation based federated learning

K Pradeepa, N. Bharathiraja, S. Sellakumar, Kavin FrancisXavier
International Journal of Heavy Vehicle Systems
Blockchain Technology Applications and Security
article

Enhancing autonomous vehicle security in intelligent transportation systems through quantum computing and optimisation based federated learning

K Pradeepa, N. Bharathiraja, S. Sellakumar, Kavin FrancisXavier
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Heavy Vehicle SystemsVol. 1(1)
Openalex Percentile: Top 84%
Blockchain Technology Applications and Security
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Enhancing autonomous vehicle security in intelligent transportation systems through quantum computing and optimisation based federated learning — K Pradeepa, N. Bharathiraja, et al. · International Journal of Heavy Vehicle Systems (2025) | TGRS Research Map | TGRS