Glyph Perturbation, The Science of Font Steganography

via Chang Xiao, Cheng Zhang, Changxi Zheng, all from Columbia University, and presented at the ACM Transaction on Graphics (SIGGRAPH 2018), comes this phenomenal steganographic research; in which, a new methodology to hide information within documents utilizing manipulation of the fonts therein is laid bare, i.e., a new form of steganographic manipulation! Today’s Must Read & watch the video below the Abstract.

“Abstract: We introduce FontCode, an information embedding technique for text documents. Provided a text document with specific fonts, our method embeds user-specified information in the text by perturbing the glyphs of text characters while preserving the text content. We devise an algorithm to choose unobtrusive yet machine-recognizable glyph perturbations, leveraging a recently developed generative model that alters the glyphs of each character continuously on a font manifold. We then introduce an algorithm that embeds a user-provided message in the text document and produces an encoded document whose appearance is minimally perturbed from the original document. We also present a glyph recognition method that recovers the embedded information from an encoded document stored as a vector graphic or pixel image, or even on a printed paper. In addition, we introduce a new error-correction coding scheme that rectifies a certain number of recognition errors. Lastly, we demonstrate that our technique enables a wide array of applications, using it as a text document metadata holder, an unobtrusive optical barcode, a cryptographic message embedding scheme, and a text document signature.” – via Chang Xiao, Cheng Zhang, Changxi Zheng, all from Columbia University.


*** This is a Security Bloggers Network syndicated blog from Infosecurity.US authored by Marc Handelman. Read the original post at: