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SETS-THIRAL-PRINCE-Power-UnProtected-MC

SETS-THIRAL-PRINCE-Power-UnProtected-MC

This dataset is part of the SETS-THIRAL dataset repository, which comprises multiple datasets suitable for performing AI-assisted Side-Channel Analysis (SCA). It consists of Power consumption traces obtained from an unprotected PRINCE lightweight cryptographic implementation executed on Xmega microcontroller platform.

About Dataset

The traces were obtained by measuring the real-time power consumption of an PRINCE encryption process during its first round. These measurements are highly suitable for Side-Channel Analysis (SCA), enabling cryptographic key recovery through both statistical techniques and deep learning–based approaches. Power consumption data were collected using a ChipWhisperer CW1200 platform connected to an Xmega microcontroller. 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 power traces, each containing 5,000 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 power traces together with the corresponding metadata structured array. The labels correspond to the most significant nibble (MSB nibble) of the first-round S-box output for byte 0 of the plaintext. Label generation uses plaintext byte 0 (PT[0]) and the 128-bit PRINCE master key. The master key is divided into two 64-bit subkeys, K0 and K1. A derived key byte is obtained from the XOR of K0 and K1, and the byte at position 0 (K0 XOR K1)[0], is used in the first-round computation. The intermediate value is computed by XORing PT[0] with (K0 XOR K1)[0], and the result is passed through the PRINCE S-box. The resulting 8-bit S-box output is divided into its most significant nibble (bits 7-4) and least significant nibble (bits 3-0). The most significant nibble is used as the class label, resulting in 16 classes (0-15).

Purpose of Dataset

This Dataset Is Developed For Research And Educational Purposes In Side-channel Analysis (Sca). It Provides Labelled Power Traces Captured From Cryptographic Computations And Can Be Used To Develop, Evaluate And Benchmark Classical And Ai-assisted Attack Methodologies. The Dataset Also Facilitates The Study Of Leakage Characteristics, Feature Extraction Techniques, Model Interpretability And The Evaluation Of Cryptographic Countermeasures.

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Tags Tags

  • Cybersecurity
  • AI4Bharat
  • Deep Learning
  • Machine Learnin
  • statistical analysis
  • AI For All
  • ai4science

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Attribution-Non-Commercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)

SETS_THIRAL_PRINCE_Power_UnProtected_MC.h5 ( 2.25 GB )


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