2022
1. Nicho, M., McDermott B., & Majdani, F. (2022). Replacing Human Input in Spam Email Detection using Deep Learning. In International Conference on Human-Computer Interaction (pp 387-404) Springer, Cham. [Scopus B]
2. Nicho, M., & Girija, S. (2022). Evaluating Machine Learning Methods for Intrusion Detection in IoT at the 12th International Conference on Information Communication and Management (ICICM 2022). ACM. [Scopus]
3. Nicho, M., & Girija, S. (2022). Systems Dynamics Modelling for Evaluating Socio- Technical Vulnerabilities in Advanced Persistent Threats at the 15th IEEE International Conference On Human System Interaction. [Scopus]
4. McDermott, Christopher D.; Nicho, Mathew; Isaacs, John P. (2022): Intrusion Detection in Smart Homes: A pretest-posttest study of learning modalities for improved Cyber Situational Awareness. TechRxiv. Preprint. https://doi.org/10.36227/techrxiv.19672275.v1 [Scopus]
5. Shafaq Naheed Khan, S., Mohammed Shael, M., Munir Majdalawieh, M., Nishara Nizamuddin, M., & Nicho, M. (2022). Blockchain for Governments: The Case of Dubai Government. Sustainability Journal. [Scopus Q2]
2021
6. Nicho, M., & Alkhateri, M. (2021). Modeling Evasive Malware Authoring Techniques. In 2021 5th Cyber Security in Networking Conference (CSNet) (pp. 71-75). IEEE. [Scopus]
7. Nicho, M., & Girija, S. (2021). IoTVT Model: A Model Mapping IoT Sensors to IoT Vulnerabilities and Threats. In 20th International Conference on Ubiquitous Computing and Communications (IUCC/CIT/DSCI/SmartCNS) (pp. 123-128129). IEEE. [Scopus]
8. Nicho, M., Emad. B, & Parkar, T., (2021). Application of Consumptive Metrics to Measure Internship Alignment. In 2021 8th Annual Conf. on Computational Science & Computational Intelligence (CSCI'21)). IEEE. [Scopus]
