Secure and Reliable Transfer Learning Framework for 6G-Enabled Internet of Vehicles

In the coming 6G era, Internet of Vehicles (IoV) has been evolving towards 6G-enabled IoV with super-high data rate, seamless networking coverage, and ubiquitous intelligence by Artificial Intelligence (AI). Transfer Learning (TL) great potential to empower promising IoV, such as smart driving assistance, its outstanding features including enhancing quality quantity training data, speeding up learning processes, reducing computing demands. Although TL had widely adopted in wireless applications (e.g., spectrum management caching), reliability security were still not well investigated. For instance, malicious vehicles source domains may transfer share untrustworthy models (i.e., knowledge) about connection availability target domains, thus adversely affecting performance processes. Therefore, it is important select also incentivize trustworthy participate TL. this article, we first introduce integration provide for IoV. We then design a secure reliable framework using reputation evaluate pre-trained utilizing consortium blockchain achieve efficient decentralized management. Moreover, deep learning-based auction scheme model market designed motivate high-reputation sharing. Finally, simulation results demonstrate that proposed well-designed incentives