Intelligent Trader Model Based on Deep Reinforcement Learning. - Daoqi Han; Junyao Zhang; Yuhang Zhou; Qing Liu; Nan Yang (WISA, 2019)

Point-to-Point Offline Authentication Consensus Algorithm in the Internet of Things. - Xiaofeng Du; Yueming Lu; Daoqi Han (ICAIS (2), 2020)

Trustworthiness and a Zero Leakage OTMP-P2L Scheme Based on NP Problems for Edge Security Access. - Daoqi Han; Xiaofeng Du; Yueming Lu (Sensors, 2020)

Anti-Collision Voting Based on Bluetooth Low Energy Improvement for the Ultra-Dense Edge. - Daoqi Han; Lingyi Xu; Ruohan Cao; Hui Gao 001; Yueming Lu (IEEE Access, 2021)

A Novel Classified Ledger Framework for Data Flow Protection in AIoT Networks. - Daoqi Han; Songqi Wu; Zhuoer Hu; Hui Gao 001; Enjie Liu; Yueming Lu (Secur. Commun. Networks, 2021)

A Hierarchical Terminal Recognition Approach based on Network Traffic Analysis. - Lingzi Kong; Daoqi Han; Junmei Ding; Mingrui Fan; Yueming Lu (DSC, 2022)

Progressive Evolution Scheme with Socialization Swarm for Privacy Blockchain. - Daoqi Han; Tao Yu; Yueming Lu (PRDC, 2022)

Joint Optimization for Mobile Edge Computing-Enabled Blockchain Systems: A Deep Reinforcement Learning Approach. - Zhuoer Hu; Hui Gao 001; Taotao Wang; Daoqi Han; Yueming Lu (Sensors, 2022)

Enhancing IoT Flow Anomaly Detection with Differential Optimal Feature Subspace. - Weidong Shi; Mingrui Fan; Jiaqi Gao; Jiahao Qi; Daoqi Han; Yueming Lu (DSC, 2023)

Optimization Design of Network Attack and Defense Scenarios in Intelligent Clusters. - Chengyue Wang 004; Yang Liu; Yaojun Qiao; Daoqi Han; Yueming Lu (DSC, 2024)

Game-theoretic private blockchain design in edge computing networks. - Daoqi Han; Yang Liu; Fangwei Zhang; Yueming Lu (Digit. Commun. Networks, 2024)

Lightweight Blockchain-Enabled Secure Data Sharing in Dynamic and Resource-Limited UAV Networks. - Yang Liu 038; Jiaqi Gao; Yueming Lu; Ruohan Cao; Linyuan Yao; Yuanqing Xia; Daoqi Han (IEEE Netw., 2024)

Traffic Feature Selection and Distributed Denial of Service Attack Detection in Software-Defined Networks Based on Machine Learning. - Daoqi Han; Honghui Li; Xueliang Fu; Shuncheng Zhou (Sensors, 2024)

Novel Multi-Classification Dynamic Detection Model for Android Malware Based on Improved Zebra Optimization Algorithm and LightGBM. - Shuncheng Zhou; Honghui Li; Xueliang Fu; Daoqi Han; Xin He (Sensors, 2024)

Securing Content Production Centers in 5G Broadcasting: Strategies and Technologies for Mitigating Cybersecurity Risks. - Yang Liu 038; Jie Wang; Ruohan Cao; Yueming Lu; Yaojun Qiao; Yuanqing Xia; Daoqi Han (IEEE Trans. Broadcast., 2024)

Reflective Distributed Denial of Service Detection: A Novel Model Utilizing Binary Particle Swarm Optimization - Simulated Annealing for Feature Selection and Gray Wolf Optimization-Optimized LightGBM Algorithm. - Daoqi Han; Honghui Li; Xueliang Fu (Sensors, 2024)

A Lightweight Blockchain Architecture with Smart Collaborative and Progressive Evolution for Privacy-Preserving 6G IoT. - Daoqi Han; Yang Liu 038; Ruohan Cao; Hui Gao 001; Yueming Lu (IEEE Wirel. Commun., 2024)

Tokenization Representation and Deep-Learning-Based Intrusion Detection in Internet of Vehicles. - Jiaqi Gao; Yueming Lu; Yaru He; Mingrui Fan; Daoqi Han; Yaojun Qiao (IEEE Internet Things J., 2024)

Research on Multi-Stage Detection of APT Attacks: Feature Selection Based on LDR-RFECV and Hyperparameter Optimization via LWHO. - Lihong Zeng; Honghui Li; Xueliang Fu; Daoqi Han; Shuncheng Zhou; Xin He (Big Data Cogn. Comput., 2025)

MACAE: memory module-assisted convolutional autoencoder for intrusion detection in IoT networks. - Jiaqi Gao; Mingrui Fan; Yaru He; Daoqi Han; Yueming Lu; Yaojun Qiao (J. Supercomput., 2025)

Bag2image: a multi-instance network traffic representation for network security event prediction. - Jiachen Zhang; Daoqi Han; Zhaoxuan Lv; Yueming Lu; Junke Duan; Yang Liu; Xinyu Zhang (Cybersecur., 2025)