Authors: Yue Xiao, Yi He, Xiaoli Zhang, Qian Wang, Renjie Xie, Kun Sun, Ke Xu, Qi Li

Published on: March 22, 2024

Impact Score: 7.4

Arxiv code: Arxiv:2403.15271

Summary

• What is new: MCU-Token, a new hardware fingerprinting framework that secures IoT devices against attackers even if cryptographic keys are compromised.
• Why this is important: The vulnerability of token-based authentication in IoT devices which can lead to impersonation and malicious operations.
• What the research proposes: MCU-Token uses a secure hardware fingerprinting framework that integrates with IoT devices to prevent token reuse and defends against machine learning attacks by mixing valid fingerprints with poisoning data.
• Results: The system achieved over 97% accuracy with low overhead across various IoT devices and application scenarios.

Technical Details

Technological frameworks used: MCU-Token

Models used: Message mapping approach for hardware fingerprint generation, poisoning data infusion to prevent machine learning model training

Data used: Hardware fingerprints, cryptographic mechanisms (private keys), and IoT device data payloads.

Potential Impact

IoT device manufacturers, consumer electronics companies, cybersecurity solutions providers.

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