Youyang Qu

Orcid: 0000-0002-2944-4647

According to our database1, Youyang Qu authored at least 79 papers between 2016 and 2024.

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Bibliography

2024
Long-Term Over One-Off: Heterogeneity-Oriented Dynamic Verification Assignment for Edge Data Integrity.
IEEE Trans. Mob. Comput., May, 2024

Data Integrity Verification in Mobile Edge Computing With Multi-Vendor and Multi-Server.
IEEE Trans. Mob. Comput., May, 2024

FedAWR: An Interactive Federated Active Learning Framework for Air Writing Recognition.
IEEE Trans. Mob. Comput., May, 2024

Learn to Unlearn: Insights Into Machine Unlearning.
Computer, March, 2024

An Optimized Privacy-Protected Blockchain System for Supply Chain on Internet of Things.
IEEE Internet Things J., 2024

The Frontier of Data Erasure: Machine Unlearning for Large Language Models.
CoRR, 2024

2023
Security Challenges and Potential Solutions in Aerial-Terrestrial Wireless Networking.
IEEE Internet Things Mag., December, 2023

Asynchronous federated learning on heterogeneous devices: A survey.
Comput. Sci. Rev., November, 2023

Digital Twin Enabled Remote Data Sharing for Internet of Vehicles: System and Incentive Design.
IEEE Trans. Veh. Technol., October, 2023

Evolutionary privacy-preserving learning strategies for edge-based IoT data sharing schemes.
Digit. Commun. Networks, August, 2023

An Efficient and Reliable Asynchronous Federated Learning Scheme for Smart Public Transportation.
IEEE Trans. Veh. Technol., May, 2023

Learning a dual-branch classifier for class incremental learning.
Appl. Intell., February, 2023

A Lightweight Model-Based Evolutionary Consensus Protocol in Blockchain as a Service for IoT.
IEEE Trans. Serv. Comput., 2023

Blockchain-enabled Federated Learning: A Survey.
ACM Comput. Surv., 2023

Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey.
CoRR, 2023

Towards Blockchain-Assisted Privacy-Aware Data Sharing For Edge Intelligence: A Smart Healthcare Perspective.
CoRR, 2023

Learn to Unlearn: A Survey on Machine Unlearning.
CoRR, 2023

Research on Multi-machine and Multi-subject Security Monitoring Technology Based on Expert Database.
Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering, 2023

2022
Privacy Preservation in IoT: Machine Learning Approaches - A Comprehensive Survey and Use Cases
Springer Briefs in Computer Science, Springer, ISBN: 978-981-19-1796-7, 2022

FDSA-STG: Fully Dynamic Self-Attention Spatio-Temporal Graph Networks for Intelligent Traffic Flow Prediction.
IEEE Trans. Veh. Technol., 2022

Security and Privacy-Enhanced Federated Learning for Anomaly Detection in IoT Infrastructures.
IEEE Trans. Ind. Informatics, 2022

A Covert Electricity-Theft Cyberattack Against Machine Learning-Based Detection Models.
IEEE Trans. Ind. Informatics, 2022

Near-Optimal Energy-Efficient Algorithm for Virtual Network Function Placement.
IEEE Trans. Cloud Comput., 2022

FedTwin: Blockchain-Enabled Adaptive Asynchronous Federated Learning for Digital Twin Networks.
IEEE Netw., 2022

FL-SEC: Privacy-Preserving Decentralized Federated Learning Using SignSGD for the Internet of Artificially Intelligent Things.
IEEE Internet Things Mag., 2022

A Lightweight and Attack-Proof Bidirectional Blockchain Paradigm for Internet of Things.
IEEE Internet Things J., 2022

Security-Aware and Privacy-Preserving Personal Health Record Sharing Using Consortium Blockchain.
IEEE Internet Things J., 2022

Modeling on Energy-Efficiency Computation Offloading Using Probabilistic Action Generating.
IEEE Internet Things J., 2022

A Comprehensive Survey on Edge Data Integrity Verification: Fundamentals and Future Trends.
CoRR, 2022

Blockchain-based Digital Twin for Supply Chain Management: A Literature Review and Future Research Directions.
CoRR, 2022

Privacy-preserving blockchain-enabled federated learning for B5G-Driven edge computing.
Comput. Networks, 2022

Design of cloud computing data center security system based on Virtualization environment.
Proceedings of the IPEC 2022: 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers, Dalian, China, April 14, 2022

Personalized Privacy-Preserving Medical Data Sharing for Blockchain-based Smart Healthcare Networks.
Proceedings of the IEEE International Conference on Communications, 2022

BASS: Blockchain-Based Asynchronous SignSGD for Robust Collaborative Data Mining.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

2021
Privacy-Preserving in Edge Computing
Wireless Networks, Springer, ISBN: 978-981-16-2198-7, 2021

Customizable Reliable Privacy-Preserving Data Sharing in Cyber-Physical Social Networks.
IEEE Trans. Netw. Sci. Eng., 2021

Privacy-Aware Autonomous Valet Parking: Towards Experience Driven Approach.
IEEE Trans. Intell. Transp. Syst., 2021

A Blockchained Federated Learning Framework for Cognitive Computing in Industry 4.0 Networks.
IEEE Trans. Ind. Informatics, 2021

Blockchain-Enabled Asynchronous Federated Learning in Edge Computing.
Sensors, 2021

DP-GAN: Differentially private consecutive data publishing using generative adversarial nets.
J. Netw. Comput. Appl., 2021

Digital Twin Based Remote Resource Sharing in Internet of Vehicles using Consortium Blockchain.
Proceedings of the 94th IEEE Vehicular Technology Conference, 2021

A Blockchain-Based Cooperative Perception in Internet of Vehicles.
Proceedings of the 94th IEEE Vehicular Technology Conference, 2021

GPDP: Game-Enhanced Personalized Differentially Private Smart Community.
Proceedings of the 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2021

BAFL: An Efficient Blockchain-Based Asynchronous Federated Learning Framework.
Proceedings of the IEEE Symposium on Computers and Communications, 2021

Differentially Privacy-Preserving Federated Learning Using Wasserstein Generative Adversarial Network.
Proceedings of the IEEE Symposium on Computers and Communications, 2021

Survey on Bridge Discovery in Tor.
Proceedings of the Ad Hoc Networks and Tools for IT - 13th EAI International Conference, 2021

Dual Scheme Privacy-Preserving Approach for Location-Aware Application in Edge Computing.
Proceedings of the Ad Hoc Networks and Tools for IT - 13th EAI International Conference, 2021

Personalized Privacy Protection in Big Data
Springer, ISBN: 978-981-16-3749-0, 2021

2020
GAN-Driven Personalized Spatial-Temporal Private Data Sharing in Cyber-Physical Social Systems.
IEEE Trans. Netw. Sci. Eng., 2020

Privacy on the Edge: Customizable Privacy-Preserving Context Sharing in Hierarchical Edge Computing.
IEEE Trans. Netw. Sci. Eng., 2020

Detecting false data attacks using machine learning techniques in smart grid: A survey.
J. Netw. Comput. Appl., 2020

Decentralized Privacy Using Blockchain-Enabled Federated Learning in Fog Computing.
IEEE Internet Things J., 2020

QoS-Aware Personalized Privacy With Multipath TCP for Industrial IoT: Analysis and Design.
IEEE Internet Things J., 2020

Generative adversarial networks enhanced location privacy in 5G networks.
Sci. China Inf. Sci., 2020

Location-Aware Privacy Preserving Scheme in SDN-Enabled Fog Computing.
Proceedings of the Security and Privacy in Digital Economy, 2020

A Privacy Preserving Aggregation Scheme for Fog-Based Recommender System.
Proceedings of the Network and System Security - 14th International Conference, 2020

Reliable Customized Privacy-Preserving in Fog Computing.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Blockchain-driven privacy-preserving machine learning.
Proceedings of the Blockchains for Network Security: Principles, 2020

2019
Improving Data Utility Through Game Theory in Personalized Differential Privacy.
J. Comput. Sci. Technol., 2019

APDP: Attack-Proof Personalized Differential Privacy Model for a Smart Home.
IEEE Access, 2019

Regression Analysis With Differential Privacy Preserving.
IEEE Access, 2019

Decentralized Privacy-Preserving Reputation Management for Mobile Crowdsensing.
Proceedings of the Security and Privacy in Communication Networks, 2019

GAN-DP: Generative Adversarial Net Driven Differentially Privacy-Preserving Big Data Publishing.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Context-Aware Privacy Preservation in a Hierarchical Fog Computing System.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Null Model and Community Structure in Heterogeneous Networks.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2019

Generative Adversarial Nets Enhanced Continual Data Release Using Differential Privacy.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2019

PRBL: a personalized recommendation system based on bipartite network projection and link community detection.
Proceedings of the ACM Turing Celebration Conference - China, 2019

2018
Privacy of Things: Emerging Challenges and Opportunities in Wireless Internet of Things.
IEEE Wirel. Commun., 2018

A Hybrid Privacy Protection Scheme in Cyber-Physical Social Networks.
IEEE Trans. Comput. Soc. Syst., 2018

Security and Privacy in Smart Cities: Challenges and Opportunities.
IEEE Access, 2018

Improving Data Utility through Game Theory in Personalized Differential Privacy.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

A Trust-Grained Personalized Privacy-Preserving Scheme for Big Social Data.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

FBI: Friendship Learning-Based User Identification in Multiple Social Networks.
Proceedings of the IEEE Global Communications Conference, 2018

2017
A Novel Multipath-Transmission Supported Software Defined Wireless Network Architecture.
IEEE Access, 2017

Distance-based location privacy protection in social networks.
Proceedings of the 27th International Telecommunication Networks and Applications Conference, 2017

FuzzyDP: Fuzzy-based big data publishing against inquiry attacks.
Proceedings of the 2017 IEEE Conference on Computer Communications Workshops, 2017

Big data set privacy preserving through sensitive attribute-based grouping.
Proceedings of the IEEE International Conference on Communications, 2017

Privacy preserving in big data sets through multiple shuffle.
Proceedings of the Australasian Computer Science Week Multiconference, 2017

2016
Studying the Global Spreading Influence and Local Connections of Users in Online Social Networks.
Proceedings of the 2016 IEEE International Conference on Computer and Information Technology, 2016


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