Detector and Extractor of Fileprints

This high fidelity, robust, and easy-to-implement method for data protection and change detection uses naturally occurring digital watermarks - data fingerprinting, so there's no need to embed.

This method uses “naturally occurring digital watermarks” – the Detector and Extractor of Fileprints (DEF). This process allows for measuring the integrity and origins of a data sequence without the need to embed watermarks and unlike data hashing is amenable to similarity measurements. DEF is applicable to any binary data and can be thought of as a visual data hash, sometimes referred to as a data fingerprint. This efficient technique is especially suitable to files larger than 10,000 bytes.

BENEFITS:

• High fidelity – No auxiliary data is embedded into the host data to be protected
• Robust – Designed to survive common distortion procedures such as lossy compression, conversion between digital/analog format and copying by using spectral characteristics
• Easy to implement – Key components of DEF are time-frequency representations and log-amplitude compression; these are well established techniques commonly found in signal processing systems. DEF is an extra computation step that can be easily accomplished in software languages such as Java or C++ or in hardware via FPGA or ASIC and brings significant improvements to the downstream detection and classification processes.