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[WARNING] Project has moved to http://github.com/Retroshare/Retroshare
[IMPORTANT] Retroshare is now distributed on Github. Please go to http://retroshare.net to find the latest releases and sources.
RetroShare is a cross-platform, secured and decentralized communication system. It lets you to securely chat, share photos, videos, and more with family and friends, using OpenPGP to authenticate peers and OpenSSL to encrypt all communication.
Steghide GUI is perfect C++/Qt app for embedding and extracting data
Steghide is a steganography program that is able to hide data in various kinds of image- and audio-files. The color- respectivly sample-frequencies are not changed thus making the embedding resistant against first-order statistical tests.
SteghideGUI is Qt GUI with various features. It supports steganography capacity counter (also supports UTF8 and compression).
It serves like a educational demonstration of embedding process. You can also view cover and stegogram in custom image viewer.
SteGUI is a graphical front-end to Steghide. It lets users view the images and play the sounds that Steghide allows as cover files, and command the program all with one tool. It also embeds a simple text editor to manage text payload files.
Open source DRM for MPEG-4 and MPEG-2 adhering to ISO/MPEG IPMP open standards (MPEG IPMP Hooks and IPMP-X), ISMAcryp and OMA DRM 2 specs. Includes CA, PKI, DOI mgmt, ISMA streaming, license server, encoding/encryption, player, plugin architecture, etc
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A suite of multiple cryptography related tools for encryption and steganography (images and audio); it focuses on the use of non-popular/new, symmetric algorithms.
The purpose of this project is to provide a biometric security solution by using voice print, fingerprint and/or facial recognition along with a password and/or smart card support using AES to protect data. Please read forums for if interested.
Steghide is a steganography program that is able to hide data in various kinds
of image- and audio-files. The color- respectivly sample-frequencies are not
changed thus making the embedding resistant against first-order statistical
tests.