| Intelligent zero trust architecture for 5G/6G networks: Principles, challenges, and the role of machine learning in the context of O-RAN K Ramezanpour, J Jagannath Computer Networks 217, 109358, 2022 | 66 | 2022 |
| SCAUL: Power side-channel analysis with unsupervised learning K Ramezanpour, P Ampadu, W Diehl IEEE Transactions on Computers 69 (11), 1626-1638, 2020 | 46 | 2020 |
| A statistical fault analysis methodology for the ascon authenticated cipher K Ramezanpour, P Ampadu, W Diehl 2019 IEEE International Symposium on Hardware Oriented Security and Trust …, 2019 | 36 | 2019 |
| Security and privacy vulnerabilities of 5G/6G and WiFi 6: Survey and research directions from a coexistence perspective K Ramezanpour, J Jagannath, A Jagannath Computer Networks 221, 109515, 2023 | 26 | 2023 |
| FIMA: Fault intensity map analysis K Ramezanpour, P Ampadu, W Diehl International Workshop on Constructive Side-Channel Analysis and Secure …, 2019 | 24 | 2019 |
| Digital twin virtualization with machine learning for IoT and beyond 5G networks: Research directions for security and optimal control J Jagannath, K Ramezanpour, A Jagannath Proceedings of the 2022 ACM workshop on wireless security and machine …, 2022 | 21 | 2022 |
| SCARL: side-channel analysis with reinforcement learning on the ascon authenticated cipher K Ramezanpour, P Ampadu, W Diehl arXiv preprint arXiv:2006.03995, 2020 | 20 | 2020 |
| Intelligent zero trust architecture for 5G/6G tactical networks: Principles, challenges, and the role of machine learning K Ramezanpour, J Jagannath arXiv preprint arXiv:2105.01478, 2021 | 16 | 2021 |
| Rs-mask: Random space masking as an integrated countermeasure against power and fault analysis K Ramezanpour, P Ampadu, W Diehl 2020 IEEE International Symposium on Hardware Oriented Security and Trust …, 2020 | 15 | 2020 |
| Active and passive side-channel key recovery attacks on Ascon K Ramezanpour, A Abdulgadir, W Diehl, JP Kaps, P Ampadu Proc. NIST Lightweight Cryptogr. Workshop, 1-27, 2020 | 12 | 2020 |
| Fault intensity map analysis with neural network key distinguisher K Ramezanpour, P Ampadu, W Diehl Proceedings of the 3rd ACM Workshop on Attacks and Solutions in Hardware …, 2019 | 8 | 2019 |
| Mr-inet gym: Framework for edge deployment of deep reinforcement learning on embedded software defined radio J Jagannath, K Hamedani, C Farquhar, K Ramezanpour, A Jagannath Proceedings of the 2022 ACM Workshop on Wireless Security and Machine …, 2022 | 5 | 2022 |
| Intelligent zero trust architecture for 5g/6g networks: Principles K Ramezanpour, J Jagannath Challenges, and the Role of Machine Learning in the context of O-RAN. arXiv, 2021 | 5 | 2021 |
| Zero trust architecture for networks employing machine learning engines AL Drozd, J Jagannath, A Jagannath, K Ramezanpour US Patent App. 17/724,071, 2022 | 3 | 2022 |
| Analysis of Deep Learning Models Towards High Performance Digital Predistortion for RF Power Amplifiers R Kudupudi, FL Pour, DS Ha, SS Ha, K Ramezanpour 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 1309-1313, 2022 | 1 | 2022 |
| Reconfigurable Clock Generator with Wide Frequency Range and Single-Cycle Phase and Frequency Switching K Ramezanpour, P Ampadu 2018 31st IEEE International System-on-Chip Conference (SOCC), 206-212, 2018 | 1 | 2018 |
| Reduction of multipath errors in spread-spectrum code tracking K Ramezanpour, BH Khalaj, A Fotowat-Ahmady 2010 IEEE International Conference on Communications, 1-6, 2010 | 1 | 2010 |
| Authentication of device in network using cryptographic certificate K Ramezanpour, J Jagannath, A Jagannath, AL Drozd US Patent App. 18/165,667, 2023 | | 2023 |
| System and methodology for secure coexistence between wireless fidelity and cellular networks J Jagannath, A Jagannath, AL Drozd, K Ramezanpour US Patent App. 17/822,458, 2023 | | 2023 |
| A Deep Learning Approach to Side-Channel Analysis of Cryptographic Hardware K Ramezanpour Virginia Tech, 2020 | | 2020 |
