CRPs Dataset of Ring Oscillator PUF

Physically unclonable functions (PUFs) are foundational components that offer a cost-efficient and promising solution for diverse security applications, including countering integrated circuit (IC) counterfeiting, generating secret keys, and enabling lightweight authentication. PUFs exploit semiconductor variations in ICs to derive inherent responses from imposed challenges, creating unique challenge-response pairs (CRPs) for individual devices. Analyzing PUF security is pivotal for identifying device vulnerabilities and ensuring response credibility. Consequently, CRP-centered scrutiny significantly shapes the block's resilience against general and modeling-based attacks. However, an updated and representative dataset is necessary for this analysis, as benchmark datasets evaluating PUF device efficacy and resilience are currently lacking. This study addresses this gap by producing a dataset of 300K CRPs for a digital PUF realized on a field-programmable gate array (FPGA). This dataset supplies a substantial quantity of CRPs for multi-bit responses, implicitly incorporating spatial and temporal relationships within the extracted CRPs.