| A multi-layer machine learning-based intrusion detection system for wireless sensor networks NM Alruhaily, DM Ibrahim International Journal of Advanced Computer Science and Applications 12 (4 …, 2021 | 25 | 2021 |
| Analysis of mobility algorithms for forensic virtual machine based malware detection N Alruhaily, B Bordbar, T Chothia 2015 IEEE Trustcom/BigDataSE/ISPA 1, 766-773, 2015 | 5 | 2015 |
| Towards an Understanding of the Misclassification Rates of Machine Learning-based Malware Detection Systems. N Alruhaily, B Bordbar, T Chothia ICISSP, 101-112, 2017 | 4 | 2017 |
| Anomaly detection in wireless sensor networks: a proposed framework D Ibrahim, N Alruhaily International Association of Online Engineering, 2020 | 3 | 2020 |
| Android Apps Security Assessment using Sentiment Analysis Techniques: Comparative Study. A Aljumah, A Altuwijri, T Alsuhaibani, A Selmi, N Alruhaily International Journal of Interactive Mobile Technologies 15 (24), 2021 | 2 | 2021 |
| A better understanding of machine learning malware misclassifcation N Alruhaily, T Chothia, B Bordbar Information Systems Security and Privacy: Third International Conference …, 2018 | 2 | 2018 |
| A Market-Based Approach for Detecting Malware in the Cloud via Introspection N Alruhaily, C Mera-Gómez, T Chothia, R Bahsoon Service-Oriented Computing: 15th International Conference, ICSOC 2017 …, 2017 | 1 | 2017 |
| Identification of Fraud Apps Using Sentiment Analysis Techniques A Aljumah, A Altuwijri, T Alsuhaibani, A Selmi, N Alruhaily iJIM 15 (23), 179, 2021 | | 2021 |
| Analysis and improvements of behaviour-based malware detection mechanisms NM Alruhaily University of Birmingham, 2018 | | 2018 |
| Analysis of Mobility Algorithms for Forensic Virtual Machine Based Malware Detection T Chothia, N Alruhaily, B Bordbar | | 2015 |
