Xinghua Li

Deep Reinforcement Learning Based Scheduling Strategy in Blockchain Payment Channel Networks

2024 · IEEE Transactions on Networking

With the popularity of blockchains, low transaction throughput has become a significant bottleneck in applications such as cryptocurrencies. Payment channel networks (PCNs) have received attention as a way to improve throughput. However, due to the …

RUPT-FL: Robust Two-Layered Privacy-Preserving Federated Learning Framework With Unlinkability for IoV

2024 · IEEE Transactions on Vehicular Technology

Privacy-preserving federated learning framework has been widely applied in the Internet of Vehicles (IoV) scenario, to enhance the privacy of local models and sensitive vehicle data. However, as increasing cyberattacks are launched against RSUs and …

Efficient Homomorphic-Encryption-Based Secure Search in Multiowner Setting for Internet of Things

2024 · IEEE Internet of Things Journal

Ensuring the security of data outsourced to cloud is a prerequisite for the application of Internet of Things (IoT) in actual production. Secure search based on homomorphic encryption can provide high security and require no …