STEGRT1: A dataset for evaluating steganalysis systems in real-world scenarios
Mohammad Rezaei, Mohammadreza Riahi, Haleh Hayati · 2020
The existence of practical reference datasets for evaluating the performance of image steganalysis algorithms and comparing their capabilities in the real-world is essential. Most of the recent steganalysis systems evaluate their results only under laboratory conditions. However, a reliable steganalysis system should be able to detect the existence of a secret message in real situations where there is no knowledge about the employed steganographic method, cover image properties, and other parameters. In this paper, we introduce Steganalysis Real Test version 1 (STEGRT1) dataset for both BITMAP and JPEG images to enable researchers to evaluate their steganalysis schemes in real-world scenarios. The proposed dataset contains 8000 cover and stego images of different sizes and properties, considering several steganographic methods, payloads, and quality factors.