Semantic Mimicking: Creating Nonsense with Sense

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Krista Bennett - Purdue University

Nov 05, 2003

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Abstract

Steganography is an ancient art. With the advent of computers, however, we have more 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 become 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. Peter Wayner

About the Speaker

Krista Bennett is a doctoral student in linguistics at Purdue. She received her MS in computer science from Purdue in 2002, and has been affiliated with CERIAS since 2000. Her research interests center on computational linguistics and privacy enhancing technologies. She is a founding member of the GNUnet project, an open-source peer-to-peer framework with a focus on privacy preservation, and with her co-authors has published in international conferences on information security (further information is available at http://web.ics.purdue.edu/~bennetkl/professional.php). She is currently doing information security research under Professors Victor Raskin and Mikhail Atallah, and has additionally worked with Professor Jan Vitek documenting the OVM open virtual machine project.

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