Daoqi Han

Orcid: 0009-0008-0981-1607

According to our database1, Daoqi Han authored at least 25 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
RPM-Net Reciprocal Point MLP Network for Unknown Network Security Threat Detection.
CoRR, April, 2026

Spectrum-Aided Traffic Decomposition and Deep Learning Method for Network Traffic Prediction in Internet of Things.
IEEE Trans. Ind. Informatics, February, 2026

Hierarchical traffic fingerprint-assisted Graph Neural Networks for encrypted traffic classification in Internet of Vehicles.
Knowl. Based Syst., 2026

2025
Bag2image: a multi-instance network traffic representation for network security event prediction.
Cybersecur., December, 2025

MACAE: memory module-assisted convolutional autoencoder for intrusion detection in IoT networks.
J. Supercomput., January, 2025

Research on Multi-Stage Detection of APT Attacks: Feature Selection Based on LDR-RFECV and Hyperparameter Optimization via LWHO.
Big Data Cogn. Comput., 2025

2024
Tokenization Representation and Deep-Learning-Based Intrusion Detection in Internet of Vehicles.
IEEE Internet Things J., December, 2024

A Lightweight Blockchain Architecture with Smart Collaborative and Progressive Evolution for Privacy-Preserving 6G IoT.
IEEE Wirel. Commun., October, 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.
Sensors, October, 2024

Securing Content Production Centers in 5G Broadcasting: Strategies and Technologies for Mitigating Cybersecurity Risks.
IEEE Trans. Broadcast., September, 2024

Novel Multi-Classification Dynamic Detection Model for Android Malware Based on Improved Zebra Optimization Algorithm and LightGBM.
Sensors, September, 2024

Traffic Feature Selection and Distributed Denial of Service Attack Detection in Software-Defined Networks Based on Machine Learning.
Sensors, July, 2024

Lightweight Blockchain-Enabled Secure Data Sharing in Dynamic and Resource-Limited UAV Networks.
IEEE Netw., July, 2024

Game-theoretic private blockchain design in edge computing networks.
Digit. Commun. Networks, 2024

Bag-of-Characters: A Multiple Instance Learning Framework for URL Embedding in Web Security.
Proceedings of the Security and Privacy in Communication Networks, 2024

Optimization Design of Network Attack and Defense Scenarios in Intelligent Clusters.
Proceedings of the 9th IEEE International Conference on Data Science in Cyberspace, 2024

2023
Enhancing IoT Flow Anomaly Detection with Differential Optimal Feature Subspace.
Proceedings of the 8th International Conference on Data Science in Cyberspace, 2023

2022
Joint Optimization for Mobile Edge Computing-Enabled Blockchain Systems: A Deep Reinforcement Learning Approach.
Sensors, 2022

Progressive Evolution Scheme with Socialization Swarm for Privacy Blockchain.
Proceedings of the 27th IEEE Pacific Rim International Symposium on Dependable Computing, 2022

A Hierarchical Terminal Recognition Approach based on Network Traffic Analysis.
Proceedings of the 7th IEEE International Conference on Data Science in Cyberspace, 2022

2021
A Novel Classified Ledger Framework for Data Flow Protection in AIoT Networks.
Secur. Commun. Networks, 2021

Anti-Collision Voting Based on Bluetooth Low Energy Improvement for the Ultra-Dense Edge.
IEEE Access, 2021

2020
Trustworthiness and a Zero Leakage OTMP-P2L Scheme Based on NP Problems for Edge Security Access.
Sensors, 2020

Point-to-Point Offline Authentication Consensus Algorithm in the Internet of Things.
Proceedings of the Artificial Intelligence and Security - 6th International Conference, 2020

2019
Intelligent Trader Model Based on Deep Reinforcement Learning.
Proceedings of the Web Information Systems and Applications, 2019


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