SRAM-based Physically Unclonable Function using Lightweight Hamming-Code Fuzzy Extractor for Energy Harvesting Beat Sensors

Batteryless energy harvesting IoT sensor nodes such as beat sensors can be deployed in millions without the need to replace batteries. They are ultra-low-power and cost-effective wireless sensor nodes without the maintenance cost and can work for 24 hours/365 days. However, they were not equipped with security mechanisms to protect user data. Data encryption and authentication can be used to secure beat sensor applications, but generating a secure cryptographic key is challenging. In this paper, we proposed an SRAM-based Physically Unclonable Function (PUF) combining a high-reliability bit selection algorithm with a lightweight error-correcting code to generate reliable secure keys for data encryption. The system employs a feature of beat sensors, in which the microcontroller is powered on to transmit the ID signals and then powered off. This fits the SRAM-based PUF requirement, which needs the SRAM to be powered off to read out its random values. The proposed system has been evaluated on STM32 Cortex M0+ micro controllers and has been implemented to protect important data on beat sensors.

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Published
2024-10-17
DOI
https://doi.org/10.1109/atc63255.2024.10908150
Primary Topic
Physical Unclonable Functions (PUFs) and Hardware Security
Type
article
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article

SRAM-based Physically Unclonable Function using Lightweight Hamming-Code Fuzzy Extractor for Energy Harvesting Beat Sensors

Hoang-Long Pham, Xuan‐Tu Tran, Orazio Aiello, Duy-Hieu Bui
Physical Unclonable Functions (PUFs) and Hardware Security
article

SRAM-based Physically Unclonable Function using Lightweight Hamming-Code Fuzzy Extractor for Energy Harvesting Beat Sensors

Hoang-Long Pham, Xuan‐Tu Tran, Orazio Aiello, Duy-Hieu Bui
article en

Abstract

Batteryless energy harvesting IoT sensor nodes such as beat sensors can be deployed in millions without the need to replace batteries. They are ultra-low-power and cost-effective wireless sensor nodes without the maintenance cost and can work for 24 hours/365 days. However, they were not equipped with security mechanisms to protect user data. Data encryption and authentication can be used to secure beat sensor applications, but generating a secure cryptographic key is challenging. In this paper, we proposed an SRAM-based Physically Unclonable Function (PUF) combining a high-reliability bit selection algorithm with a lightweight error-correcting code to generate reliable secure keys for data encryption. The system employs a feature of beat sensors, in which the microcontroller is powered on to transmit the ID signals and then powered off. This fits the SRAM-based PUF requirement, which needs the SRAM to be powered off to read out its random values. The proposed system has been evaluated on STM32 Cortex M0+ micro controllers and has been implemented to protect important data on beat sensors.

Vietnam National University, Hanoi (VN), University of Genoa (IT)
Affordable and clean energy
Openalex Percentile: Top 69%
Physical Unclonable Functions (PUFs) and Hardware Security
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SRAM-based Physically Unclonable Function using Lightweight Hamming-Code Fuzzy Extractor for Energy Harvesting Beat Sensors — Hoang-Long Pham, Xuan‐Tu Tran, et al. · (2024) | TGRS Research Map | TGRS