davidggz/SRNet-Tensorflow-Implementation

SRNet steganalyzer implementation using TensorFlow 2.0

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/ 100
Experimental

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.

No commits in the last 6 months.

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.

digital-forensics image-analysis steganography-detection cybersecurity intelligence-gathering
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 0 / 25

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Last pushed

Jul 20, 2022

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