SETS-THIRAL-PRESENT80-EM-Protected-TI-FPGA

The traces were obtained by measuring the real-time EM emission of an PRESENT-80 encryption process. These measurements are highly suitable for Side-Channel Analysis (SCA), enabling cryptographic key recovery through both statistical techniques and deep learning–based approaches. Power traces were collected using KeySight DSOS204A Oscilloscope, with the bandwidth of 2GHz and Sampling rate of 20GS/s connected to an Kintex-7 FPGA. Trigger-based synchronization is used during acquisition process to align the captured traces with encryption operations. After collection, the traces were formatted and annotated with appropriate labels to support side-channel analysis experiments and AI model development. The dataset is provided in HDF5 (.h5) format and is divided into Profiling_traces and Attack_traces groups. The Profiling_traces group consists of 100,000 traces, each containing 1,20,003 sample points along with a metadata structured array containing the corresponding plaintext, key, and ciphertext values and a label array. The Attack_traces group contains 20,000 traces together with the corresponding metadata structured array. Labels are generated from the first-round S-box output of the PRESENT-80 encryption algorithm. For each trace, plaintext byte 0 (PT[0]) is XORed with the effective key byte. The most significant nibble (MSB) of the resulting 8-bit value is then extracted and used as the input to the PRESENT S-box. The resulting 4-bit S-box output is assigned as the label for the corresponding trace. Since the PRESENT S-box produces a 4-bit output, the labels consist of 16 possible classes ranging from 0 to 15. Threshold Implementation (TI) is a masking-based countermeasure that provides resistance against side-channel attacks by decomposing sensitive intermediate values into multiple shares while satisfying the properties of correctness, non-completeness and uniformity. By ensuring that no individual share reveals information about the secret, TI reduces exploitable leakage from cryptographic computations. In the SETS-THIRAL repository, TI-protected implementation was incorporated to generate datasets corresponding to masked cryptographic executions. The resulting datasets enable the evaluation of leakage assessment methodologies using conventional side-channel attacks and AI-assisted attack techniques against masking-based countermeasures.