davidggz/SRNet-Tensorflow-Implementation
SRNet steganalyzer implementation using TensorFlow 2.0
This project helps digital forensics experts and security analysts determine if an image contains hidden information, a technique known as steganography. By inputting a suspicious image, the system identifies whether it's a 'cover' image (no hidden data) or a 'stego' image (with hidden data). The primary user would be someone investigating image authenticity or hidden communications.
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Use this if you need to detect the presence of hidden information within digital images, particularly in investigations or content analysis.
Not ideal if you need to extract the hidden information itself, as this tool only detects its presence.
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Jul 20, 2022
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