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Summary:
This paper proposes a lightweight intrusion detection system (IDS) using FPGA-based hardware fingerprinting on a Zynq SoC. By analyzing intrinsic ADC imperfections, the system captures device-specific signals, extracts 38 handcrafted features, and classifies devices with a Random Forest model. Experiments show that hardware variations do not affect identification accuracy, achieving 100% test accuracy even after reducing features to 19. The study highlights the practicality of combining hardware fingerprinting and lightweight machine learning for secure authentication in embedded systems.
Author(s):
Abdul Waheed Mohammed
University of Michigan - Dearborn
United States
Abbas Ali
University of Michigan - Dearborn
United States
Hasan Arif
University of Michigan - Dearborn
United States
Fazal Rahaman Pasha Mohammed
University of Michigan - Dearborn
United States
Hafiz Malik
University of Michigan - Dearborn
United States
Hafiz Malik is a Professor of Electrical and Computer Engineering (ECE) at the University of Michigan–Dearborn. His research in the areas of deepfakes, automotive cybersecurity, cyber-physical system security, sensor security, multimedia forensics, steganography/steganalysis, information hiding, pattern recognition, and information fusion is funded by the National Science Foundation, National Academies, Ford Motor Company, Marelli, Inc. N.A., and other agencies. He is a recipient of the UM-Dearborn Chancellor's Inclusive Excellence Fellows 2022, UM-Dearborn 2022 Distinguished Research Award, and College of Engineering and Computer Science 2020 Excellence in Research Award. He has published over 170 articles in leading peer-reviewed journals, conferences, and workshops. He is the founder and CEO of Media Shield Inc. – a robust and reliable deepfake detection platform. He is also a founding member and chief operating officer (COO) of the Global Foundation for Cyber Studies and Research, a founding member of the Cybersecurity Center for Research, Education, and Outreach at UM-Dearborn, and a member of the leadership circle for the Dearborn Artificial Intelligence Research Center at UM-Dearborn. He is also a member of the Scientific and Industrial Advisory Board (SIAB) of the National Center of Cyber Security Pakistan. He has been a member of the MCity Working Group on Cybersecurity since 2015.
