A Consortium Blockchain-Based Access Control Framework With Dynamic Orderer Node Selection for 5G-Enabled Industrial IoT. - Yuming Feng 002; Weizhe Zhang; Xiapu Luo; Bin Zhang 048 (IEEE Trans. Ind. Informatics, 2022)

SVScanner: Detecting smart contract vulnerabilities via deep semantic extraction. - Hengyan Zhang; Weizhe Zhang; Yuming Feng 002; Yang Liu 039 (J. Inf. Secur. Appl., 2023)

Automatic IoT device identification: a deep learning based approach using graphic traffic characteristics. - Shujun Yin; Weizhe Zhang; Yuming Feng 002; Yang Xiang; Yang Liu 039 (Telecommun. Syst., 2023)

A Collaborative Stealthy DDoS Detection Method Based on Reinforcement Learning at the Edge of Internet of Things. - Yuming Feng 002; Weizhe Zhang; Shujun Yin; Hao Tang; Yang Xiang 001; Yu Zhang 036 (IEEE Internet Things J., 2023)

An MTD-driven Hybrid Defense Method Against DDoS Based on Markov Game in Multi-controller SDN-enabled IoT Networks. - Yuming Feng 002; Weizhe Zhang; Zijun Feng; Xiaoxiong Zhong; Fangming Liu (IWQoS, 2024)

Defining and Detecting the Defects of the Large Language Model-based Autonomous Agents. - Kaiwen Ning; Jiachi Chen; Jingwen Zhang; Wei Li 121; Zexu Wang; Yuming Feng 002; Weizhe Zhang; Zibin Zheng (CoRR, 2024)

A bytecode-based integrated detection and repair method for reentrancy vulnerabilities in smart contracts. - Zijun Feng; Yuming Feng 002; Hui He; Weizhe Zhang; Yu Zhang 036 (IET Blockchain, 2024)

An IoT Device Identification Method Using Extracted Fingerprint From Sequence of Traffic Grayscale Images. - Yuming Feng 002; Yu Zhang 036; Hui He; Weizhe Zhang; Desheng Wang 002 (IEEE Trans. Dependable Secur. Comput., 2024)

Copy-and-Paste? Identifying EVM-Inequivalent Code Smells in Multi-chain Reuse Contracts. - Zexu Wang; Jiachi Chen; Tao Zhang 001; Yu Zhang 036; Weizhe Zhang; Yuming Feng 002; Zibin Zheng (Proc. ACM Softw. Eng., 2025)

LRD-Raft: Log Replication Decouple for Efficient and Secure Consensus in Consortium-Blockchain-Based IoT. - Heru Yang; Yuming Feng 002; Weizhe Zhang (IEEE Internet Things J., 2025)