Yizhou Shen

Orcid: 0000-0002-3769-7193

According to our database1, Yizhou Shen authored at least 13 papers between 2022 and 2024.

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

Timeline

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Bibliography

2024
Novel Intrusion Detection Strategies With Optimal Hyper Parameters for Industrial Internet of Things Based on Stochastic Games and Double Deep Q-Networks.
IEEE Internet Things J., September, 2024

MFGD3QN: Enhancing Edge Intelligence Defense Against DDoS With Mean-Field Games and Dueling Double Deep Q-Network.
IEEE Internet Things J., July, 2024

Comparative DQN-Improved Algorithms for Stochastic Games-Based Automated Edge Intelligence-Enabled IoT Malware Spread-Suppression Strategies.
IEEE Internet Things J., June, 2024

Combining Lyapunov Optimization With Actor-Critic Networks for Privacy-Aware IIoT Computation Offloading.
IEEE Internet Things J., May, 2024

Deep Q-Network-Based Open-Set Intrusion Detection Solution for Industrial Internet of Things.
IEEE Internet Things J., April, 2024

Deep Q-network-based heuristic intrusion detection against edge-based SIoT zero-day attacks.
Appl. Soft Comput., January, 2024

SGD3QN: Joint Stochastic Games and Dueling Double Deep Q-Networks for Defending Malware Propagation in Edge Intelligence-Enabled Internet of Things.
IEEE Trans. Inf. Forensics Secur., 2024

Game-theoretic analytics for privacy preservation in Internet of Things networks: A survey.
Eng. Appl. Artif. Intell., 2024

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

2022
Signaling game-based availability assessment for edge computing-assisted IoT systems with malware dissemination.
J. Inf. Secur. Appl., 2022

DRL-based Resource Allocation Optimization for Computation Offloading in Mobile Edge Computing.
Proceedings of the IEEE INFOCOM 2022, 2022

DRL-based Optimization of Privacy Protection and Computation Performance in MEC Computation Offloading.
Proceedings of the IEEE INFOCOM 2022, 2022

A Deep Reinforcement Learning Approach to Edge-based IDS Packets Sampling.
Proceedings of the 5th International Conference on Data Science and Information Technology, 2022


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