Rongxing Lu
6 أوراق في مجموعة PaperMetrix
أوراق هذا المؤلف
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A sybil attack detection scheme for privacy-preserving mobile social networks
2015
With the pervasiveness of smart phones, mobile social networking (MSN) has received extensive attention in recent years. However, while providing many opportunities to mobile users, MSN also poses new security challenges, and sybil attack is …
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Blockchain-Based Privacy-Preserving Driver Monitoring for MaaS in the Vehicular IoT
2021 · IEEE Transactions on Vehicular Technology
Driving behaviors are highly relevant to automotive statuses and on-board safety, which offer compelling shreds of evidence for mobility as a service (MaaS) providers to develop personalized rental prices and insurance products. However, the direct …
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Toward Privacy-Preserving Cybertwin-Based Spatiotemporal Keyword Query for ITS in 6G Era
2021 · IEEE Internet of Things Journal
The sixth-generation (6G) communication technology has been attracting great interests from both industry and academia, as it is regarded as a promising approach to achieve more stable and low-latency communication. These promising features of 6G …
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Secured and Cooperative Publish/Subscribe Scheme in Autonomous Vehicular Networks
2024 · IEEE Transactions on Intelligent Transportation Systems
In order to save computing power yet enhance safety, there is a strong intention for autonomous vehicles (AVs) in future to drive collaboratively by sharing sensory data and computing results among neighbors. However, the intense …
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Achieve Edge-Based Privacy-Preserving Dynamic Aggregation Query in Smart Transportation Systems
2023
As the proliferation of smart vehicles has fostered an abundance of real-time data, various data analysis tools, such as aggregation queries, are expected to be deployed to extract insights and make transportation systems much smarter. …
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Efficient and Privacy-Preserving Federated Learning Against Poisoning Adversaries
2024 · IEEE Transactions on Services Computing
The ever-growing data scale and increasingly strict privacy restraint have recently drawn extensive attention to federated learning (FL) as a multi-party machine learning paradigm for achieving high-quality model construction without data collection. Nevertheless, uploading local …