| Enhancing smart-contract security through machine learning: A survey of approaches and techniques F Jiang, K Chao, J Xiao, Q Liu, K Gu, J Wu, Y Cao Electronics 12 (9), 2046, 2023 | 9 | 2023 |
| VDDL: A deep learning-based vulnerability detection model for smart contracts F Jiang, Y Cao, J Xiao, H Yi, G Lei, M Liu, S Deng, H Wang International Conference on Machine Learning for Cyber Security, 72-86, 2022 | 7 | 2022 |
| SCcheck: A novel graph-driven and attention-enabled smart contract vulnerability detection framework for web 3.0 ecosystem Y Cao, F Jiang, J Xiao, S Chen, X Shao, C Wu IEEE Transactions on Network Science and Engineering, 2023 | 1 | 2023 |
| Data Flow-driven and Attention Mechanism-enabled Smart Contract Vulnerability Detection for Secure and Green Blockchain-based Service Networks Y Cao, F Jiang, J Xiao, S Chen, W Yang, Y Yi ICC 2023-IEEE International Conference on Communications, 5135-5140, 2023 | 1 | 2023 |
| Anomaly Detection with Ensemble Empirical Mode Decomposition for Secure QUIC Communications: A Simple Use Case K Gu, J Wu, F Jiang, R Ji, L Ji, T Lei International Conference on Mobile Networks and Management, 413-422, 2022 | | 2022 |
| Focus on Multipath TCP: Introduction, Benefits and Future Research Trends L Ji, R Ji, J Wu, K Gu, F Jiang, Y Cao Research Briefs on Information and Communication Technology Evolution 7, 151-163, 2021 | | 2021 |
| A novel anomaly detection model for secure multipath QUIC communications by jointly using empirical mode decomposition and long short-term memory networks G Lei, J Wu, K Gu, F Jiang, S Li, C Jiang Intelligent Decision Technologies, 1-22, 0 | | |
