| A lightweight signature-based IDS for IoT environment NU Sheikh, H Rahman, S Vikram, H AlQahtani arXiv preprint arXiv:1811.04582, 2018 | 30 | 2018 |
| Countermeasure of attack vectors using signature-based IDS in IoT environments TU Sheikh, H Rahman, HS Al-Qahtani, TK Hazra, NU Sheikh 2019 IEEE 10th Annual Information Technology, Electronics and Mobile …, 2019 | 13 | 2019 |
| Sink mobility to ensure coverage in multi-partitioned wireless sensor network H Rahman, Z Rehena, N Mukherjee arXiv preprint arXiv:1906.04966, 2019 | 8 | 2019 |
| Effects of storage conditions on the morphology and titer of lentiviral vectors H Rahman, J Taylor, B Clack, RS Stewart, SC Canterberry | 7 | 2013 |
| An optimized pattern recognition algorithm for anomaly detection in IoT environment NU Sheikh, H Rahman, H Al-Qahtani arXiv preprint arXiv:1901.08729, 2019 | 3 | 2019 |
| Multi-variable bijective mapping for secure encryption and decryption NU Sheikh, TK Hazra, H Rahman, K Mustafi, AK Chakraborty 2017 8th Annual Industrial Automation and Electromechanical Engineering …, 2017 | 3 | 2017 |
| Partitioned network with Adaptive Mobile Sinks H Rahman, NU Sheikh, HS Al-Qahtani, TK Hazra 2019 IEEE 10th Annual Information Technology, Electronics and Mobile …, 2019 | 1 | 2019 |
| Anomaly Detection in Smart Grid Networks Using Power Consumption Data P Nanda, H Rahman, M Mohanty 20th International Conference on Security and Cryptography, 2023 | | 2023 |
| Characterisation and detections of third-party content loading in the web H Rahman Macquarie University, 2019 | | 2019 |
| An Optimized Pattern Recognition Algorithm for Anomaly Detection in IoT Environment N Uddin Sheikh, H Rahman, H Al-Qahtani arXiv e-prints, arXiv: 1901.08729, 2019 | | 2019 |