Linguistic Steganography: Survey, Analysis, and Robustness Concerns for Hiding Information in Text
Tech report number
CERIAS TR 2004-13
Abstract
Steganography is an ancient art. With the advent of computers, we have vast accessible bodies of data in which to hide information, and increasingly sophisticated techniques with which to analyze and recover that information. While much of the recent research in steganography has been centered on hiding data in images, many of the solutions that work for images are more complicated when applied to natural language text as a cover medium. Many approaches to steganalysis attempt to detect statistical anomalies in cover data which predict the presence of hidden information. Natural language cover texts must not only pass the statistical muster of automatic analysis, but also the minds of human readers. Linguistically na
How published
Research paper accepted in partial fulfillment of the Dept. of Linguistics preliminary examination requirement
Institution
Purdue University
Acknowledgement
Victor Raskin, CERIAS
Affiliation
Interdepartmental Program in Linguistics and CERIAS
Publication Date
2004-05-12
Contents
- Steganography, steganalysis and mimicking
- Text steganography
- Linguistic concerns with existing methods
- Future directions in constructing linguistically and statistically robust cover texts
Keywords
linguistic steganography
Subject
Issues and future directions in linguistic steganography
