Statistical Dataset

Description

This dataset consists of Statistical Variability.csv and Variability_Report.csv ( zip file) 1. Statistical Variability.csv This spreadsheet contains compiled statistical evaluation data, detailing the mean and standard deviation of various image quality (e.g., MSE, PSNR, SSIM) and security metrics (e.g., Entropy, NPCR, UACI). The data is categorized across different image file formats and spatial resolutions. 2. Variability_Report.csv This dataset consists of 1,250 aggregated records containing detailed evaluation metrics per individual file. It provides exact quantitative measurements for visual fidelity, statistical variations, computational execution time (in seconds), and peak memory consumption (in MB).

Steps to reproduce

1. Prepare the Data: Gather a dataset of 1,250 digital images spanning five formats (PNG, JPEG, GIF, BMP, TIFF) and multiple spatial resolutions (from 800x600 up to 4K). 2. Execute the Processing Pipeline: Process each image through the designated encryption and steganographic embedding framework. 3. Run Repeated Trials: Perform 20 repeated execution trials for each individual image to ensure statistical stability. 4. Calculate Metrics: Evaluate image quality (MSE, PSNR, SSIM), data extraction reliability (BER), security randomness (Entropy, NPCR, UACI, Correlation), and resource overhead (Execution Time, Peak RAM). 5. Aggregate Results: Compile the raw output logs per image into the report and compute the final mean and standard deviation values in statistical variability

Institutions

• Universitas Ahmad Dahlan

  Yogyakarta, Yogyakarta

Categories

Licence