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ORCIDKeyvan Ramezanpour
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2020 – today
- 2023
[j4]Keyvan Ramezanpour, Jithin Jagannath
, Anu Jagannath:
Security and privacy vulnerabilities of 5G/6G and WiFi 6: Survey and research directions from a coexistence perspective. Comput. Networks 221: 109515 (2023)- 2022
- [j3]Keyvan Ramezanpour, Jithin Jagannath:
Intelligent zero trust architecture for 5G/6G networks: Principles, challenges, and the role of machine learning in the context of O-RAN. Comput. Networks 217: 109358 (2022) - [c10]Rajesh Kudupudi, Fariborz Lohrabi Pour, Dong Sam Ha, Sook Shin Ha, Keyvan Ramezanpour:
Analysis of Deep Learning Models Towards High Performance Digital Predistortion for RF Power Amplifiers. ISCAS 2022: 1309-1313 - [c9]Jithin Jagannath, Kian Hamedani, Collin Farquhar, Keyvan Ramezanpour, Anu Jagannath:
MR-iNet Gym: Framework for Edge Deployment of Deep Reinforcement Learning on Embedded Software Defined Radio. WiseML@WiSec 2022: 51-56 - [c8]Jithin Jagannath, Keyvan Ramezanpour, Anu Jagannath:
Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks: Research Directions for Security and Optimal Control. WiseML@WiSec 2022: 81-86 - [i7]Jithin Jagannath, Keyvan Ramezanpour, Anu Jagannath:
Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks: Research Directions for Security and Optimal Control. CoRR abs/2204.01950 (2022) - [i6]Jithin Jagannath, Kian Hamedani, Collin Farquhar, Keyvan Ramezanpour, Anu Jagannath:
MR-iNet Gym: Framework for Edge Deployment of Deep Reinforcement Learning on Embedded Software Defined Radio. CoRR abs/2204.04507 (2022) - [i5]Keyvan Ramezanpour, Jithin Jagannath, Anu Jagannath:
Security and Privacy vulnerabilities of 5G/6G and WiFi 6: Survey and Research Directions from a Coexistence Perspective. CoRR abs/2206.14997 (2022) - 2021
- [j2]Keyvan Ramezanpour, Paul Ampadu, William Diehl:
Fault intensity map analysis with neural network key distinguisher. J. Cryptogr. Eng. 11(3): 273-288 (2021) - [i4]Keyvan Ramezanpour, Jithin Jagannath:
Intelligent Zero Trust Architecture for 5G/6G Tactical Networks: Principles, Challenges, and the Role of Machine Learning. CoRR abs/2105.01478 (2021) - 2020
- [b1]Keyvan Ramezanpour:
A Deep Learning Approach to Side-Channel Analysis of Cryptographic Hardware. Virginia Tech, Blacksburg, VA, USA, 2020 - [j1]Keyvan Ramezanpour, Paul Ampadu, William Diehl:
SCAUL: Power Side-Channel Analysis With Unsupervised Learning. IEEE Trans. Computers 69(11): 1626-1638 (2020) - [c7]Keyvan Ramezanpour, Paul Ampadu, William Diehl:
RS-Mask: Random Space Masking as an Integrated Countermeasure against Power and Fault Analysis. HOST 2020: 176-187 - [i3]Keyvan Ramezanpour, Paul Ampadu, William Diehl:
SCAUL: Power Side-Channel Analysis with Unsupervised Learning. CoRR abs/2001.05951 (2020) - [i2]Keyvan Ramezanpour, Paul Ampadu, William Diehl:
SCARL: Side-Channel Analysis with Reinforcement Learning on the Ascon Authenticated Cipher. CoRR abs/2006.03995 (2020)
2010 – 2019
- 2019
- [c6]Keyvan Ramezanpour, Paul Ampadu, William Diehl:
Fault Intensity Map Analysis with Neural Network Key Distinguisher. ASHES@CCS 2019: 33-42 - [c5]Keyvan Ramezanpour, Paul Ampadu, William Diehl:
FIMA: Fault Intensity Map Analysis. COSADE 2019: 63-79 - [c4]Keyvan Ramezanpour, Paul Ampadu, William Diehl:
A Statistical Fault Analysis Methodology for the Ascon Authenticated Cipher. HOST 2019: 41-50 - [i1]Keyvan Ramezanpour, Paul Ampadu, William Diehl:
RS-Mask: Random Space Masking as an Integrated Countermeasure against Power and Fault Analysis. CoRR abs/1911.11278 (2019) - 2018
- [c3]Keyvan Ramezanpour, Paul Ampadu:
Reconfigurable Clock Generator with Wide Frequency Range and Single-Cycle Phase and Frequency Switching. SoCC 2018: 206-212 - 2017
- [c2]Keyvan Ramezanpour, Xingye Liu, Paul Ampadu:
Improving Scalability in Thermally Resilient Hybrid Photonic-Electronic NoCs. NoCArc@MICRO 2017: 5:1-5:6 - 2010
- [c1]Keyvan Ramezanpour, Babak Hossein Khalaj, Ali Fotowat-Ahmady:
Reduction of Multipath Errors in Spread-Spectrum Code Tracking. ICC 2010: 1-6
Coauthor Index
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