Power Consumption Analysis for Reverse Engineering Digital Modulation: A Novel Approach to Physical Layer Attacks on Communication Systems
Résumé
Physical layer security is a critical aspect of embedded wireless communication devices, particularly in military, civil, intelligence, and security applications. Ensuring secure communication at this layer is essential to prevent unauthorized access and exploitation of vulnerabilities. While many existing techniques focus on the transmitted signal, they often overlook potential side-channel vulnerabilities that arise when an attacker gains access to the device itself. In this work, we propose a novel approach to enhancing physical layer security by demonstrating the feasibility of differentiating modulation schemes through power consumption analysis (PCA). Using a Field Programmable Gate Array (FPGA), we implemented various modulation schemes and measured the associated power consumption traces. Based on these measurements, we developed a classification algorithm using the gradient-boosted decision tree method. Our approach achieved a classification accuracy of approximately 99%, highlighting the potential of power analysis as both a tool for identifying vulnerabilities and strengthening security in embedded wireless communication devices.
Mots clés
- Physical Layer Security
- Side-channel attack (SCA) Power Consumption Analysis Digital Modulations Automatic Modulation Classification (AMC) Machine Learning Boosted Trees Field-Programmable Gate Array (FPGA) HDL Physical Layer Security
- HDL
- Field-Programmable Gate Array (FPGA)
- Boosted Trees
- Machine Learning
- Automatic Modulation Classification (AMC)
- Digital Modulations
- Power Consumption Analysis
- Side-channel attack (SCA)
| Origine | Fichiers produits par l'(les) auteur(s) |
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