| Machine learning for intrusion detection in industrial control systems: Applications, challenges, and recommendations UM Azmi, JK Nazir, JM Taha, AP Mathur International Journal of Critical Infrastructure Protection 38, 100516, 2022 | 116 | 2022 |
| Generating Invariants using Design and Data-centric Approaches for Distributed Attack Detection MA Umer, A Mathur, KN Junejo, S Adepu International Journal of Critical Infrastructure Protection 28, 100341, 2020 | 35 | 2020 |
| Integrating design and data centric approaches to generate invariants for distributed attack detection MA Umer, A Mathur, KN Junejo, S Adepu Proceedings of the 2017 workshop on cyber-physical systems security and …, 2017 | 32 | 2017 |
| Attack rules: an adversarial approach to generate attacks for Industrial Control Systems using machine learning MA Umer, CM Ahmed, MT Jilani, AP Mathur Proceedings of the 2th Workshop on CPS&IoT Security and Privacy, 35-40, 2021 | 16 | 2021 |
| Machine Learning for CPS Security: Applications, Challenges and Recommendations CM Ahmed, MA Umer, BSSB Liyakkathali, MT Jilani, J Zhou Machine Intelligence and Big Data Analytics for Cybersecurity Applications …, 2020 | 12* | 2020 |
| A data-centric approach to generate invariants for a smart grid using machine learning D Hudani, M Haseeb, M Taufiq, MA Umer, NK Kandasamy Proceedings of the 2022 ACM Workshop on Secure and Trustworthy Cyber …, 2022 | 6 | 2022 |
| Role of machine learning in weather related event predictions for a smart city MA Umer, MT Jilani, KN Junejo, SA Naz, CW D’Silva Machine Intelligence and Data Analytics for Sustainable Future Smart Cities …, 2021 | 6 | 2021 |
| A framework using artificial intelligence for vision-based automated firearm detection and reporting in smart cities M Hunain, T Iqbal, MA Siyal, MA Umer, MT Jilani Artificial Intelligence and Blockchain for Future Cybersecurity Applications …, 2021 | 3 | 2021 |
| Machine Learning for CPS Security: Applications, Challenges and Recommendations CM Ahmed, MA Umer, BSSB Liyakkathali, MT Jilani, J Zhou Machine Intelligence and Big Data Analytics for Cybersecurity Applications …, 2020 | 3* | 2020 |
| A method of generating invariants for distributed attack detection, and apparatus thereof MA Umer, A Mathur, KN Junejo, S Adepu US Patent App. 16/754,732, 2020 | 1 | 2020 |
| Effect of time patterns in mining process invariants for industrial control systems: an experimental study MA Umer, A Mathur, MT Jilani Proceedings of the 2nd International Workshop on Software Engineering and AI …, 2022 | | 2022 |
| A Conceptual Analysis of IoT in Healthcare MA Umer, MT Jilani, A Rafiq, SA Naz, KN Junejo Big Data Intelligence for Smart Applications, 227-240, 2022 | | 2022 |
| Attack Rules: An Adversarial Approach to Generate Attacks for Industrial Control Systems using Machine Learning M Azmi Umer, C Mujeeb Ahmed, M Taha Jilani, AP Mathur arXiv e-prints, arXiv: 2107.05127, 2021 | | 2021 |
| Role of Machine Learning in Weather MA Umer, MT Jilani, KN Junejo, SA Naz, CW D'Silva Machine Intelligence and Data Analytics for Sustainable Future Smart Cities …, 2021 | | 2021 |
| Machine Learning for CPS Security: Applications, Challenges CM Ahmed, MA Umer, BSSB Liyakkathali, MT Jilani, J Zhou Machine Intelligence and Big Data Analytics for Cybersecurity Applications …, 2020 | | 2020 |
| Guardians of Ics: A Comparative Analysis of Anomaly Detection Techniques Z Wang, MA Umer, H Zhang, M Ahmed Naveed ul and Ahmed, Mujeeb, Guardians of Ics: A Comparative Analysis of …, 0 | | |
Muhammad Taha JilaniAssociate Professor, Bahria University, KarachiVerificeret mail på bahria.edu.pk