To provide the stego community with C/C++ implementations of selected feature extractors mainly targeted at H.264 steganography.
A project named "STEGANOGRAPHY TOOLS " that provide 4 types of Steganography { Image, Text, Audio, Video } that hides User's Text message in the desired cover file using the tool and can send it to the receiver who can extract the Hidden message using the same tool .
AES 256 & RSA encrypted video steganography. SRU Hackathon 2022 - Cybersecurity Winners
A Advance Steganography Tool made with Python The Program Supports Hiding Secret Text data into an innocent looking cover file like : .mp4, .wav, .png, .jpeg, .txt through the use of Steganography Theory.
Improved way of securing data using combined Steganography and Cryptographic techniques
A video steganography tool; combining video files and subtitles
Program that uses steganography and cryptography to hide a video file within another video file without noticeably effecting the appearance of the video. Networking component to securely send encoded files over a network.
Video Steganography / Watermarking Demo Tool
This project "STEGANOGRAPHY TOOLS" showcases algorithms to hide text message in four different cover file (Text, Image, Audio, Video) and transfer it to the receiver who can extract the hidden message from these files with the same tools.
Encrypted Steganography for PNG's and Lossless MKV
Dissertation for master of Security and Applied Logic at FMI, UniBuc (Video Steganography - Topic)
A Advance Steganography Tool made with Python The Program Supports Hiding Secret Text data into an innocent looking cover file like : .mp4, .wav, .png, .jpeg, .txt through the use of Steganography Theory
Explore a versatile Python repository enabling seamless steganography across Text, Image, Audio, GIF, and Video formats.
This is a final year project created by CSIT students for 7th semester. It is a simple website that can hide text inside videos or images.
Video steganography project for windows in wpf.
Explore a versatile Python repository enabling seamless steganography across Text, Image, Audio, GIF, and Video formats.
Explores both the relationships between discrete cosine transform (DCT) coefficients as well as the variation in DCT coefficients across popular video codecs with a focus on improving and optimizing DCT-based steganographic systems.
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