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Steganography architecture example - OpenPuff. A steganography software tool allows a user to embed hidden data inside a carrier file, such as an image or video, and later extract that data. It is not necessary to conceal the message in the original file at all.
Modifying the echo of a sound file (Echo Steganography). [8] Steganography for audio signals. [9] Image bit-plane complexity segmentation steganography; Including data in ignored sections of a file, such as after the logical end of the carrier file. [10] Adaptive steganography: Skin tone based steganography using a secret embedding angle. [11]
The same image viewed by white, blue, green, and red lights reveals different hidden numbers. Steganography (/ ˌ s t ɛ ɡ ə ˈ n ɒ ɡ r ə f i / ⓘ STEG-ə-NOG-rə-fee) is the practice of representing information within another message or physical object, in such a manner that the presence of the concealed information would not be evident to an unsuspecting person's examination.
In Excel and Word 95 and prior editions a weak protection algorithm is used that converts a password to a 16-bit verifier and a 16-byte XOR obfuscation array [1] key. [4] Hacking software is now readily available to find a 16-byte key and decrypt the password-protected document. [5] Office 97, 2000, XP and 2003 use RC4 with 40 bits. [4]
OpenPuff Steganography and Watermarking, sometimes abbreviated OpenPuff or Puff, is a free steganography tool for Microsoft Windows created by Cosimo Oliboni and still maintained as independent software. The program is notable for being the first steganography tool (version 1.01 released in December 2004) that:
Steganographic file systems are a kind of file system first proposed by Ross Anderson, Roger Needham, and Adi Shamir.Their paper proposed two main methods of hiding data: in a series of fixed size files originally consisting of random bits on top of which 'vectors' could be superimposed in such a way as to allow levels of security to decrypt all lower levels but not even know of the existence ...
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The problem is generally handled with statistical analysis. A set of unmodified files of the same type, and ideally from the same source (for example, the same model of digital camera, or if possible, the same digital camera; digital audio from a CD MP3 files have been "ripped" from; etc.) as the set being inspected, are analyzed for various statistics.