Title
Identifying and Resolving Hidden Text Salting
Abstract
Hidden salting in digital media involves the intentional addition or distortion of content patterns with the purpose of content filtering. We propose a method to detect portions of a digital text source which are invisible to the end user, when they are rendered on a visual medium (like a computer monitor). The method consists of “tapping” into the rendering process and analyzing the rendering commands to identify portions of the source text (plaintext) which will be invisible for a human reader, using criteria based on text character and background colors, font size, overlapping characters, etc. Moreover, text deemed visible (covertext) is reconstructed from rendering commands and then the character reading order is identified, which could differ from the rendering order. The detection and resolution of hidden salting is evaluated on two e-mail corpora, and the effectiveness of this method in spam filtering task is assessed. We provide a solution to a relevant open problem in content filtering applications, namely the presence of tricks aimed at circumventing automatic filters.
Year
DOI
Venue
2010
10.1109/TIFS.2010.2063024
IEEE Transactions on Information Forensics and Security
Keywords
Field
DocType
text character,digital media,content pattern,content filtering,rendering order,character reading order,source text,information filtering,rendering process,digital text source,rendering (computer graphics),hidden salting,e-mail,media streaming,hidden text salting,rendering command,content manipulation,content management,html
Hidden text,Point (typography),Computer vision,Computer monitor,Pattern recognition,Computer science,Filter (signal processing),Artificial intelligence,Source text,Content management,Rendering (computer graphics),Plaintext
Journal
Volume
Issue
ISSN
5
4
1556-6013
Citations 
PageRank 
References 
1
0.36
26
Authors
4
Name
Order
Citations
PageRank
Marie-Francine Moens11750139.27
Jan De Beer2494.41
Erik Boiy32579.55
Juan Carlos Gomez48412.89