Dr. Guenole Silvestre and Dr. Neil Hurley of the UCD School of Computer Science & Informatics have developed FORTRESS an efficient tool for Filtering Hidden Information in Network Data. FORTRESS (FORensic Tool for Resilient Steganographic Signatures) provides a reliable, low latency method for withholding unauthorised content from Internet users while being easy to use like an anti-virus filter.

Steganography is the ancient art of hiding information. Digital technology gives new ways to hide information in multimedia content such that it remains perceptually unchanged. An example is digital watermarking which balances the need to achieve statistical transparency while maximizing the amount of transmitted information.

FORTRESS can be deployed to detect hidden information amongst otherwise innocuous Internet traffic. This hidden information may comprise of illegal or offensive images such as pornography, terrorist messages or unauthorized data such as industrial espionage.

For more information contact Peter Conlon. A marketing flyer can be downloaded here (pdf).