activity
20192022
most citedSCARL: Side-Channel Analysis with Reinforcement Learning on the Ascon Authenticated Cipher

13 citations · 27 across the 6 of their papers we have counts for

collaborators

7 papers

cs.NI2022★ 1 cited

Security and Privacy vulnerabilities of 5G/6G and WiFi 6: Survey and Research Directions from a Coexistence Perspective

Keyvan Ramezanpour, Jithin Jagannath, Anu Jagannath

Spectrum scarcity has been a major concern for achieving the desired quality of experience (QoE) in next-generation (5G/6G and beyond) networks supporting a massive volume of mobil…

cs.NI2022★ 4 cited

Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks: Research Directions for Security and Optimal Control

Jithin Jagannath, Keyvan Ramezanpour, Anu Jagannath

Digital twin (DT) technologies have emerged as a solution for real-time data-driven modeling of cyber physical systems (CPS) using the vast amount of data available by Internet of…

cs.LG2022★ 3 cited

MR-iNet Gym: Framework for Edge Deployment of Deep Reinforcement Learning on Embedded Software Defined Radio

Jithin Jagannath, Kian Hamedani, Collin Farquhar +2

Dynamic resource allocation plays a critical role in the next generation of intelligent wireless communication systems. Machine learning has been leveraged as a powerful tool to ma…

cs.NI2021★ 6 cited

Intelligent Zero Trust Architecture for 5G/6G Networks: Principles, Challenges, and the Role of Machine Learning in the context of O-RAN

Keyvan Ramezanpour, Jithin Jagannath

In this position paper, we discuss the critical need for integrating zero trust (ZT) principles into next-generation communication networks (5G/6G). We highlight the challenges and…

cs.CR2020★ 13 cited

SCARL: Side-Channel Analysis with Reinforcement Learning on the Ascon Authenticated Cipher

Keyvan Ramezanpour, Paul Ampadu, William Diehl

Existing side-channel analysis techniques require a leakage model, in the form of a prior knowledge or a set of training data, to establish a relationship between the secret data a…

cs.CR2020

SCAUL: Power Side-Channel Analysis with Unsupervised Learning

Keyvan Ramezanpour, Paul Ampadu, William Diehl

Existing power analysis techniques rely on strong adversary models with prior knowledge of the leakage or training data. We introduce side-channel analysis with unsupervised learni…

cs.CR2019

RS-Mask: Random Space Masking as an Integrated Countermeasure against Power and Fault Analysis

Keyvan Ramezanpour, Paul Ampadu, William Diehl

While modern masking schemes provide provable security against passive side-channel analysis (SCA), such as power analysis, single faults can be employed to recover the secret key…