| Machine learning approaches to IoT security: A systematic literature review R Ahmad, I Alsmadi Internet of Things 14, 100365, 2021 | 225 | 2021 |
| A comprehensive deep learning benchmark for IoT IDS R Ahmad, I Alsmadi, W Alhamdani, L Tawalbeh Computers & Security 114, 102588, 2022 | 43 | 2022 |
| Zero-day attack detection: a systematic literature review R Ahmad, I Alsmadi, W Alhamdani, L Tawalbeh Artificial Intelligence Review 56 (10), 10733-10811, 2023 | 29 | 2023 |
| A deep learning ensemble approach to detecting unknown network attacks R Ahmad, I Alsmadi, W Alhamdani, L Tawalbeh Journal of Information Security and Applications 67, 103196, 2022 | 16 | 2022 |
| Towards building data analytics benchmarks for IoT intrusion detection R Ahmad, I Alsmadi, W Alhamdani, L Tawalbeh Cluster Computing 25 (3), 2125-2141, 2022 | 10 | 2022 |
| Machine learning approaches to IoT security: a systematic literature review. Internet of Things 14: 100365 R Ahmad, I Alsmadi URL: https://www. sciencedirect. com/science/article/pii/S2542660521000093 …, 2021 | 8 | 2021 |
| Optimization of deep learning models: benchmark and analysis R Ahmad, I Alsmadi, M Al-Ramahi Advances in Computational Intelligence 3 (2), 7, 2023 | 1 | 2023 |
| Models versus Datasets: Reducing Bias through Building a Comprehensive IDS Benchmark R Ahmad, I Alsmadi, W Alhamdani, L Tawalbeh Future Internet 13 (12), 318, 2021 | 1 | 2021 |
| Data fusion and network intrusion detection systems R Ahmad, I Alsmadi Cluster Computing, 1-27, 2024 | | 2024 |
Izzat Alsmadi: IEEE Senior memberTexas A&M San Antonio在 tamusa.edu 的电子邮件经过验证
Izzat Alsmadi: IEEE Senior memberTexas A&M San Antonio在 tamusa.edu 的电子邮件经过验证
Lo'ai TawalbehProf. of Computing and Cyber Security在 synopsys.com 的电子邮件经过验证
Mohammad Abdel-Rahman (Al-Ramahi)Texas A&M University-San Antonio在 tamusa.edu 的电子邮件经过验证