Laisen Nie
Orcid: 0000-0001-8813-7738
According to our database1,
Laisen Nie
authored at least 43 papers
between 2013 and 2024.
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Bibliography
2024
Intrusion Detection for Unmanned Aerial Vehicles Security: A Tiny Machine Learning Model.
IEEE Internet Things J., June, 2024
Incremental Update Intrusion Detection for Industry 5.0 Security: A Graph Attention Network-Enabled Approach.
IEEE Trans. Consumer Electron., February, 2024
Digital Twin for Transportation Big Data: A Reinforcement Learning-Based Network Traffic Prediction Approach.
IEEE Trans. Intell. Transp. Syst., January, 2024
Hypernetworks-Based Hierarchical Federated Learning on Hybrid Non-IID Datasets for Digital Twin in Industrial IoT.
IEEE Trans. Netw. Sci. Eng., 2024
Proceedings of the 27th International Conference on Information Fusion, 2024
2023
Rumors Suppression in Healthcare System: Opinion-Based Comprehensive Learning Particle Swarm Optimization.
IEEE Trans. Comput. Soc. Syst., August, 2023
Intelligent Intrusion Detection for Internet of Things Security: A Deep Convolutional Generative Adversarial Network-Enabled Approach.
IEEE Internet Things J., February, 2023
2022
Deep Learning-Based Network Traffic Prediction for Secure Backbone Networks in Internet of Vehicles.
ACM Trans. Internet Techn., November, 2022
A NOMA-Enabled Framework for Relay Deployment and Network Optimization in Double-Layer Airborne Access VANETs.
IEEE Trans. Intell. Transp. Syst., 2022
A Multitask Learning-Based Network Traffic Prediction Approach for SDN-Enabled Industrial Internet of Things.
IEEE Trans. Ind. Informatics, 2022
Delay-Sensitive Secure NOMA Transmission for Hierarchical HAP-LAP Medical-Care IoT Networks.
IEEE Trans. Ind. Informatics, 2022
Distributed Orchestration of Service Function Chains for Edge Intelligence in the Industrial Internet of Things.
IEEE Trans. Ind. Informatics, 2022
Intrusion Detection for Secure Social Internet of Things Based on Collaborative Edge Computing: A Generative Adversarial Network-Based Approach.
IEEE Trans. Comput. Soc. Syst., 2022
A Redactable Blockchain Framework for Secure Federated Learning in Industrial Internet of Things.
IEEE Internet Things J., 2022
Network Traffic Prediction for Intelligent Transportation Systems: A Reinforcement Learning Approach.
Proceedings of the IEEE Global Communications Conference, 2022
2021
Network Traffic Prediction in Industrial Internet of Things Backbone Networks: A Multitask Learning Mechanism.
IEEE Trans. Ind. Informatics, 2021
A Reinforcement Learning-Based Network Traffic Prediction Mechanism in Intelligent Internet of Things.
IEEE Trans. Ind. Informatics, 2021
Blockchain Based IIoT Data Sharing Framework for SDN-Enabled Pervasive Edge Computing.
IEEE Trans. Ind. Informatics, 2021
Intrusion Detection in Green Internet of Things: A Deep Deterministic Policy Gradient-Based Algorithm.
IEEE Trans. Green Commun. Netw., 2021
A Study on the Range Equation Modeling for Multichannel Medium-Earth-Orbit SAR-GMTI Systems.
Remote. Sens., 2021
IEEE Netw., 2021
2020
Data-Driven Intrusion Detection for Intelligent Internet of Vehicles: A Deep Convolutional Neural Network-Based Method.
IEEE Trans. Netw. Sci. Eng., 2020
Traffic Measurement Optimization Based on Reinforcement Learning in Large-Scale ITS-Oriented Backbone Networks.
IEEE Access, 2020
2019
A New Motion Parameter Estimation and Relocation Scheme for Airborne Three-Channel CSSAR-GMTI Systems.
IEEE Trans. Geosci. Remote. Sens., 2019
Anomaly Detection Based on Spatio-Temporal and Sparse Features of Network Traffic in VANETs.
IEEE Access, 2019
An Accurate Imaging and Doppler Chirp Rate Estimation Algorithm for Airborne CSSAR-GMTI Systems.
IEEE Access, 2019
A New Ground Moving Target Imaging Algorithm for High-Resolution Airborne CSSAR-GMTI Systems.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Traffic Measurement Optimization Based on Reinforcement Learning in Large-Scale IP Backbone Networks.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
Anomaly Detection Based on Spatio-Temporal and Sparse Features of Network Traffic in VANETs.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
2018
Network Traffic Prediction Based on Deep Belief Network and Spatiotemporal Compressive Sensing in Wireless Mesh Backbone Networks.
Wirel. Commun. Mob. Comput., 2018
Spatio-Temporal Network Traffic Estimation and Anomaly Detection Based on Convolutional Neural Network in Vehicular Ad-Hoc Networks.
IEEE Access, 2018
2017
Modeling network traffic for traffic matrix estimation and anomaly detection based on Bayesian network in cloud computing networks.
Ann. des Télécommunications, 2017
Network Traffic Prediction Based on Deep Belief Network in Wireless Mesh Backbone Networks.
Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017
2016
Traffic matrix prediction and estimation based on deep learning in large-scale IP backbone networks.
J. Netw. Comput. Appl., 2016
IEEE Access, 2016
Traffic Matrix Prediction and Estimation Based on Deep Learning for Data Center Networks.
Proceedings of the 2016 IEEE Globecom Workshops, Washington, DC, USA, December 4-8, 2016, 2016
2015
End-to-End Network Traffic Reconstruction Via Network Tomography Based on Compressive Sensing.
J. Netw. Syst. Manag., 2015
A convex optimization-based traffic matrix estimation approach in IP-over-WDM backbone networks.
J. Netw. Comput. Appl., 2015
A compressive sensing-based network tomography approach to estimating origin-destination flow traffic in large-scale backbone networks.
Int. J. Commun. Syst., 2015
A compressive sensing-based approach to end-to-end network traffic reconstruction utilising partial measured origin-destination flows.
Trans. Emerg. Telecommun. Technol., 2015
2014
A reconstructing approach to end-to-end network traffic based on multifractal wavelet model.
Int. J. Commun. Syst., 2014
2013
J. Netw. Comput. Appl., 2013
Comput. Electr. Eng., 2013