| Identifying LDoS attack traffic based on wavelet energy spectrum and combined neural network M Yue, L Liu, Z Wu, M Wang International Journal of Communication Systems 31 (2), e3449, 2018 | 44 | 2018 |
| Securing a smart home with a transformer-based iot intrusion detection system M Wang, N Yang, N Weng Electronics 12 (9), 2100, 2023 | 35 | 2023 |
| Low-rate DoS attack flows filtering based on frequency spectral analysis Z Wu, M Wang, C Yan, M Yue China Communications 14 (6), 98-112, 2017 | 35 | 2017 |
| Low-high burst: a double potency varying-rtt based full-buffer shrew attack model M Yue, M Wang, Z Wu IEEE Transactions on Dependable and Secure Computing 18 (5), 2285-2300, 2019 | 19 | 2019 |
| High-potency models of ldos attack against cubic+ red M Yue, J Li, Z Wu, M Wang IEEE Transactions on Information Forensics and Security 16, 4950-4965, 2021 | 16 | 2021 |
| SmartDetour: Defending blackhole and content poisoning attacks in IoT NDN networks N Yang, K Chen, M Wang IEEE Internet of Things Journal 8 (15), 12119-12136, 2021 | 15 | 2021 |
| WinCM: A window based congestion control mechanism for NDN M Wang, M Yue, Z Wu 2018 1st IEEE international conference on hot information-centric networking …, 2018 | 11 | 2018 |
| A new exploration of FB-shrew attack M Yue, Z Wu, M Wang IEEE Communications Letters 20 (10), 1987-1990, 2016 | 11 | 2016 |
| Roles of wireless networks in bridging the rural smart infrastructural divide X Chen, K Chen, M Wang, R Li Infrastructures 8 (11), 159, 2023 | 6 | 2023 |
| On the Robustness of ML-Based Network Intrusion Detection Systems: An Adversarial and Distribution Shift Perspective M Wang, N Yang, DH Gunasinghe, N Weng Computers 12 (10), 209, 2023 | 6 | 2023 |
| Ota-nn: Observational therapy-assistance neural network for enhancing autism intervention quality M Wang, N Yang 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC …, 2022 | 5 | 2022 |
| ProGen: Projection-based Adversarial Attack Generation against Network Intrusion Detection M Wang, N Yang, NJ Forcade-Perkins, N Weng IEEE Transactions on Information Forensics and Security, 2024 | 4 | 2024 |
| OBTAIN: Observational Therapy-Assistance Neural Network for Training State Recognition M Wang, N Yang IEEE Access 11, 31951-31961, 2023 | 4 | 2023 |
| Learn-IDS: Bridging Gaps between Datasets and Learning-Based Network Intrusion Detection M Wang, N Yang, Y Guo, N Weng Electronics 13 (6), 1072, 2024 | 3 | 2024 |
| Exploring the Impact of Early Detection on DL-Based NIDSs Models M Wang, N Yang, N Weng 2023 IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile …, 2023 | 2 | 2023 |
| K-GetNID: Knowledge-Guided Graphs for Early and Transferable Network Intrusion Detection M Wang, N Yang, N Weng IEEE Transactions on Information Forensics and Security, 2024 | 1 | 2024 |
| EmoAsst: emotion recognition assistant via text-guided transfer learning on pre-trained visual and acoustic models M Wang, N Yang Frontiers in Computer Science 6, 1304687, 2024 | 1 | 2024 |
| Multi-Agent Deep-Q Network-Based Cache Replacement Policy for Content Delivery Networks JK Dassanayake, M Wang, MZ Hameed, N Yang Future Internet 16 (8), 292, 2024 | | 2024 |
| Learn-IDS: Bridging Gaps between Datasets and Learning-Based Network Intrusion Detection. Electronics 2024, 13, 1072 M Wang, N Yang, Y Guo, N Weng Machine Learning for Cybersecurity, 252, 2024 | | 2024 |