Laisen Nie

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 35

Top Topics

Intrusion Detection

Reinforcement Learning

Incremental Update

Network Traffic

Top Venues

IEEE Trans. Ind. Informatics

IEEE Internet Things J.

Publications

Yixuan Wu, Lin Yang, Long Zhang, Laisen Nie, Li Zheng
Intrusion Detection for Unmanned Aerial Vehicles Security: A Tiny Machine Learning Model. IEEE Internet Things J. 11 (12) (2024)
Laisen Nie, Xiaojie Wang, Qinglin Zhao, Zhigang Shang, Li Feng, Guojun Li
Digital Twin for Transportation Big Data: A Reinforcement Learning-Based Network Traffic Prediction Approach. IEEE Trans. Intell. Transp. Syst. 25 (1) (2024)
Yixuan Wu, Laisen Nie, Xuanrui Xiong, Balqies Sadoun, Lin Yang, Zhaolong Ning
Incremental Update Intrusion Detection for Industry 5.0 Security: A Graph Attention Network-Enabled Approach. IEEE Trans. Consumer Electron. 70 (1) (2024)
Jihao Yang, Wen Jiang, Laisen Nie
Hypernetworks-Based Hierarchical Federated Learning on Hybrid Non-IID Datasets for Digital Twin in Industrial IoT. IEEE Trans. Netw. Sci. Eng. 11 (2) (2024)
Qiang He, Wei Qiao, Ali Kashif Bashir, Yuliang Cai, Laisen Nie, Yasser D. Al-Otaibi, Keping Yu
Rumors Suppression in Healthcare System: Opinion-Based Comprehensive Learning Particle Swarm Optimization. IEEE Trans. Comput. Soc. Syst. 10 (4) (2023)
Yixuan Wu, Laisen Nie, Shupeng Wang, Zhaolong Ning, Shengtao Li
Intelligent Intrusion Detection for Internet of Things Security: A Deep Convolutional Generative Adversarial Network-Enabled Approach. IEEE Internet Things J. 10 (4) (2023)
Xiaojie Wang, Laisen Nie, Zhaolong Ning, Lei Guo, Guoyin Wang, Xinbo Gao, Neeraj Kumar
Deep Learning-Based Network Traffic Prediction for Secure Backbone Networks in Internet of Vehicles. ACM Trans. Internet Techn. 22 (4) (2022)
Jiannan Wei, Qinchuan Zhu, Qianmu Li, Laisen Nie, Zhangyi Shen, Kim-Kwang Raymond Choo, Keping Yu
A Redactable Blockchain Framework for Secure Federated Learning in Industrial Internet of Things. IEEE Internet Things J. 9 (18) (2022)
Laisen Nie, Yixuan Wu, Xiaojie Wang, Lei Guo, Guoyin Wang, Xinbo Gao, Shengtao Li
Intrusion Detection for Secure Social Internet of Things Based on Collaborative Edge Computing: A Generative Adversarial Network-Based Approach. IEEE Trans. Comput. Soc. Syst. 9 (1) (2022)
Handi Chen, Shupeng Wang, Guojun Li, Laisen Nie, Xiaojie Wang, Zhaolong Ning
Distributed Orchestration of Service Function Chains for Edge Intelligence in the Industrial Internet of Things. IEEE Trans. Ind. Informatics 18 (9) (2022)
Yixin He, Laisen Nie, Tan Guo, Kuljeet Kaur, Mohammad Mehedi Hassan, Keping Yu
A NOMA-Enabled Framework for Relay Deployment and Network Optimization in Double-Layer Airborne Access VANETs. IEEE Trans. Intell. Transp. Syst. 23 (11) (2022)
Jian Song, Hua Liu, Laisen Nie, Zhaolong Ning, Mohammad S. Obaidat, Balqies Sadoun
Network Traffic Prediction for Intelligent Transportation Systems: A Reinforcement Learning Approach. GLOBECOM (2022)
Dawei Wang, Yixin He, Keping Yu, Gautam Srivastava, Laisen Nie, Ruonan Zhang
Delay-Sensitive Secure NOMA Transmission for Hierarchical HAP-LAP Medical-Care IoT Networks. IEEE Trans. Ind. Informatics 18 (8) (2022)
Shupeng Wang, Laisen Nie, Guojun Li, Yixuan Wu, Zhaolong Ning
A Multitask Learning-Based Network Traffic Prediction Approach for SDN-Enabled Industrial Internet of Things. IEEE Trans. Ind. Informatics 18 (11) (2022)
Laisen Nie, Xiaojie Wang, Shupeng Wang, Zhaolong Ning, Mohammad S. Obaidat, Balqies Sadoun, Shengtao Li
Network Traffic Prediction in Industrial Internet of Things Backbone Networks: A Multitask Learning Mechanism. IEEE Trans. Ind. Informatics 17 (10) (2021)
Ying Gao, Yijian Chen, Xiping Hu, Hongliang Lin, Yangliang Liu, Laisen Nie
Blockchain Based IIoT Data Sharing Framework for SDN-Enabled Pervasive Edge Computing. IEEE Trans. Ind. Informatics 17 (7) (2021)
Laisen Nie, Zhaolong Ning, Mohammad S. Obaidat, Balqies Sadoun, Huizhi Wang, Shengtao Li, Lei Guo, Guoyin Wang
A Reinforcement Learning-Based Network Traffic Prediction Mechanism in Intelligent Internet of Things. IEEE Trans. Ind. Informatics 17 (3) (2021)
Yongkang Li, Tong Wang, Tianyu Huo, Laisen Nie
A Study on the Range Equation Modeling for Multichannel Medium-Earth-Orbit SAR-GMTI Systems. Remote. Sens. 13 (14) (2021)
Laisen Nie, Wentao Sun, Shupeng Wang, Zhaolong Ning, Joel J. P. C. Rodrigues, Yixuan Wu, Shengtao Li
Intrusion Detection in Green Internet of Things: A Deep Deterministic Policy Gradient-Based Algorithm. IEEE Trans. Green Commun. Netw. 5 (2) (2021)
Laisen Nie, Xiaojie Wang, Wentao Sun, Yongkang Li, Shengtao Li, Peng Zhang
Imitation-Learning-Enabled Vehicular Edge Computing: Toward Online Task Scheduling. IEEE Netw. 35 (3) (2021)
Laisen Nie, Zhaolong Ning, Xiaojie Wang, Xiping Hu, Jun Cheng, Yongkang Li
Data-Driven Intrusion Detection for Intelligent Internet of Vehicles: A Deep Convolutional Neural Network-Based Method. IEEE Trans. Netw. Sci. Eng. 7 (4) (2020)
Laisen Nie, Huizhi Wang, Xin Jiang, Yi Guo, Shengtao Li
Traffic Measurement Optimization Based on Reinforcement Learning in Large-Scale ITS-Oriented Backbone Networks. IEEE Access 8 (2020)
Yongkang Li, Laisen Nie
A New Ground Moving Target Imaging Algorithm for High-Resolution Airborne CSSAR-GMTI Systems. IGARSS (2019)
Yongkang Li, Yongliang Wang, Baochang Liu, Shuang-xi Zhang, Laisen Nie, Guoan Bi
A New Motion Parameter Estimation and Relocation Scheme for Airborne Three-Channel CSSAR-GMTI Systems. IEEE Trans. Geosci. Remote. Sens. 57 (6) (2019)
Yongkang Li, Baochang Liu, Lei Wang, Hongmeng Chen, Laisen Nie, Lina Zeng, Guoan Bi
An Accurate Imaging and Doppler Chirp Rate Estimation Algorithm for Airborne CSSAR-GMTI Systems. IEEE Access 7 (2019)
Huizhi Wang, Laisen Nie, Zhaolong Ning, Mohammad S. Obaidat, Runze Shang
Traffic Measurement Optimization Based on Reinforcement Learning in Large-Scale IP Backbone Networks. GLOBECOM (2019)
Laisen Nie, Huizhi Wang, Shimin Gong, Zhaolong Ning, Mohammad S. Obaidat, Kuei-Fang Hsiao
Anomaly Detection Based on Spatio-Temporal and Sparse Features of Network Traffic in VANETs. GLOBECOM (2019)
Laisen Nie, Yixuan Wu, Huizhi Wang, Yongkang Li
Anomaly Detection Based on Spatio-Temporal and Sparse Features of Network Traffic in VANETs. IEEE Access 7 (2019)
Laisen Nie, Yongkang Li, Xiangjie Kong
Spatio-Temporal Network Traffic Estimation and Anomaly Detection Based on Convolutional Neural Network in Vehicular Ad-Hoc Networks. IEEE Access 6 (2018)
Laisen Nie, Xiaojie Wang, Liangtian Wan, Shui Yu, Houbing Song, Dingde Jiang
Network Traffic Prediction Based on Deep Belief Network and Spatiotemporal Compressive Sensing in Wireless Mesh Backbone Networks. Wirel. Commun. Mob. Comput. 2018 (2018)
Laisen Nie, Dingde Jiang, Zhihan Lv
Modeling network traffic for traffic matrix estimation and anomaly detection based on Bayesian network in cloud computing networks. Ann. des Télécommunications 72 (5-6) (2017)
Laisen Nie, Dingde Jiang, Shui Yu, Houbing Song
Network Traffic Prediction Based on Deep Belief Network in Wireless Mesh Backbone Networks. WCNC (2017)
Laisen Nie, Dingde Jiang, Lei Guo, Shui Yu
Traffic matrix prediction and estimation based on deep learning in large-scale IP backbone networks. J. Netw. Comput. Appl. 76 (2016)
Dingde Jiang, Laisen Nie, Zhihan Lv, Houbing Song
Spatio-Temporal Kronecker Compressive Sensing for Traffic Matrix Recovery. IEEE Access 4 (2016)
Laisen Nie, Dingde Jiang, Lei Guo, Shui Yu, Houbing Song
Traffic Matrix Prediction and Estimation Based on Deep Learning for Data Center Networks. GLOBECOM Workshops (2016)
Laisen Nie, Dingde Jiang, Lei Guo
End-to-End Network Traffic Reconstruction Via Network Tomography Based on Compressive Sensing. J. Netw. Syst. Manag. 23 (3) (2015)
Laisen Nie, Dingde Jiang, Lei Guo
A convex optimization-based traffic matrix estimation approach in IP-over-WDM backbone networks. J. Netw. Comput. Appl. 50 (2015)
Laisen Nie, Dingde Jiang
A compressive sensing-based network tomography approach to estimating origin-destination flow traffic in large-scale backbone networks. Int. J. Commun. Syst. 28 (5) (2015)
Laisen Nie, Dingde Jiang, Lei Guo
A compressive sensing-based approach to end-to-end network traffic reconstruction utilising partial measured origin-destination flows. Trans. Emerg. Telecommun. Technol. 26 (8) (2015)
Laisen Nie, Dingde Jiang, Lei Guo, Zhengzheng Xu
A reconstructing approach to end-to-end network traffic based on multifractal wavelet model. Int. J. Commun. Syst. 27 (12) (2014)
Laisen Nie, Dingde Jiang, Zhengzheng Xu
A compressive sensing-based reconstruction approach to network traffic. Comput. Electr. Eng. 39 (5) (2013)
Laisen Nie, Dingde Jiang, Lei Guo
A power laws-based reconstruction approach to end-to-end network traffic. J. Netw. Comput. Appl. 36 (2) (2013)