DSCAD: Dilithium Side-Channel Attacks Dataset

This gap severely limits the development of relevant technologies. To address this issue, we proposes the first side-channel attack-specific dataset for the Dilithium—Dilithium Side-Channel Attacks Dataset (DSCAD), providing an experimental foundation for the application of deep learning in post-quantum cryptography research.Experimental environment：The DSCAD dataset was collected using the ChipWhisperer UFO platform, equipped with an STM32 F405 RGTx microprocessor running at 25 MHz and a 10 MHz passive crystal oscillator.

Power consumption data was captured using a Pico 3206D oscilloscope with a 125 MHz sampling rate and an 8-bit mode. A BLP-48+ 50M low-pass filter was used to reduce noise. The Dilithium open-source reference implementation, set to NIST security level 2, was compiled using the gcc-arm cross-compiler with the -O1 optimization to simulate real-world scenarios.Target Operation：The dataset focuses on capturing the power traces during the storage of the sensitive polynomial $\mathbf{u}$ in the Dilithium implementation.