The increasing use of Internet of Things (IoT) devices has posed a significant challenge for cybersecurity. It is imperative to ensure that IoT devices are thoroughly assessed for their provenance to prevent potential security threats. Physically unclonable functions (PUFs) are considered to be ideal for reliable key-generation, as they generate strong hardware-generated signatures, which are far more secure than software-generated ones. PUFs can create unique signatures by leveraging inherent manufacturing variations.
TalTech has successfully designed a chip from TSMC, the world's largest silicon foundry, to validate the robustness of SRAM-based PUFs. To validate the design, 50 chip samples were packaged, and all packaged samples were confirmed to be fully functional. The total number of datapoints collected is 131M. After collecting the data from the chip, the technical outcome is analyzing the statistical data from the chips. Reliability, entropy, uniqueness, randomness, and bias pattern were considered during the analysis.
The aim of the technology transfer from Tallinn University of Technology to Intrinsic ID was to find appropriate Physical Unclonable Functions (PUFs) for the chips that are used in Internet of Things (IoT) devices. To achieve this, TalTech conducted a study to investigate the design-time decisions that ensured the successful implementation of SRAM-based PUFs. The study had specific objectives, which are outlined below:
TalTech team successfully created a chip using 65nm technology and put it to the test. TalTech team was able to assess the robustness of the SRAM-based PUF. This project was a breakthrough in chip design and PUF's reliability, as it merged the different technological aspects to produce an innovative solution which are given below:
The successful completion of this project has enabled Intrinsic ID and other industrial entities to expand their portfolio, offering a wider range of security solutions for IoT devices. The project has yielded a hardware-based security solution, which is a rapidly growing segment of the industry, and it was $1 billion in 2021. Additionally, the outcome of this project is highly relevant for universities, research institutions, and governmental authorities looking to implement robust security measures for IoT devices.