In a year where cyber security and privacy has been a mainstay in the public eye, prop software allowing for added security online has been in increasingly high demand. Anonymous search engine Duck Duck Go recently completed it’s biggest year of growth and traffic ever reported. As revelations continue to emerge of the NSA’s unencumbered tracking of all cyber traffic and information avenues, more and more people are switching to secure alternatives to manage communication.
Although storing and hiding information online has proven fruitless, the new generation of privacy tech focuses on Anonymizing information so it can’t be traced back to the user. Using avenues like the Tor network, VPN and proxy networks, documents can typically be published free of any evidence tracing back to the root. To combat this, however, law enforcement officials use pattern recognition and machine learning to analyze and trace back the idiosyncrasies of a document to it’s author.
A free, open-source project, Anonymouth uses pattern fuzzing and scrambling techniques to eliminate those idiosyncrasies and stylometric patterns to, in theory, make it impossible to trace back to an author based purely on writing style. The project is still a work in project, however for the security-conscious it adds another layer of protection in the quest for authentic privacy.
Anonymouth is currently looking for contributors to fork the project.