Detection of Steganographic Techniques on Twitter
Alex Wilson, Phil Blunsom, Andrew D. Ker · 2015
We propose a method to detect hidden data in English text. We target a system pre-viously thought secure, which hides mes-sages in tweets. The method brings ideas from image steganalysis into the linguis-tic domain, including the training of a feature-rich model for detection. To iden-tify Twitter users guilty of steganography, we aggregate evidence; a first, in any do-main. We test our system on a set of 1M steganographic tweets, and show it to be effective. 1