Title: Jokestega: automatic joke generation-based steganography methodology

Authors: Abdelrahman Desoky

Addresses: Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, MD, USA

Abstract: This paper presents a novel steganography methodology, namely Automatic Joke Generation Based Steganography Methodology (Jokestega), that pursues textual jokes in order to hide messages. Basically, Jokestega methodology takes advantage of recent advances in Automatic Jokes Generation (AJG) techniques to automate the generation of textual steganographic cover. In a corpus of jokes, one may judge a number of documents to be the same joke although letters, locations, and other details are different. Generally, joke and puns could be retold with totally different vocabulary, while still retaining their identities. Therefore, Jokestega pursues the common variations among jokes to conceal data. Furthermore, when someone is joking, anything may be said which legitimises the use of joke-based steganography. This makes employing textual jokes very attractive as steganographic carrier for camouflaging data. It is worth noting that Jokestega follows Nostega paradigm, which implies that joke-cover is noiseless. The validation results demonstrate the effectiveness of Jokestega.

Keywords: linguistic steganography; text steganography; information hiding; information security; textual jokes; puns; joke based steganography.

DOI: 10.1504/IJSN.2012.052529

International Journal of Security and Networks, 2012 Vol.7 No.3, pp.148 - 160

Received: 13 Aug 2011
Accepted: 19 Jun 2012
Published online: 10 Mar 2013 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article