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Trustworthy Federated Learning for Industrial IoT: Balancing Robustness and Fairness via Blockchain‐Based Reputation

open access: yesArtificial Intelligence for Engineering, Volume 2, Issue 1, Page 67-77, March 2026.
This paper proposes Block‐FairFL, a Trustworthy Federated Learning framework empowered by Blockchain, to address the dual challenges of security and fairness in deploying AI for industrial engineering. ABSTRACT The integration of artificial intelligence into the industrial Internet of Things is pivotal for predictive maintenance and autonomous control.
Hui Li
wiley   +1 more source

Efficient anonymous authentication protocol for internet of vehicles based on Chinese cryptographic SM2

open access: yes网络与信息安全学报
A critical component of cybersecurity protection in the internet of vehicles (IoV) was identity authentication. However, many existing authentication schemes were plagued by low efficiency and incompatibility with domestic cryptographic algorithms.
SU Binting, FANG He, XU Li
doaj  

Enhanced EAADE: a quantum-resilient and privacy-preserving authentication protocol for secure data exchange in vehicular social networks. [PDF]

open access: yesSci Rep
Alrashdi R   +7 more
europepmc   +1 more source

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