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Detecting Steganographic Content on the Internet

dc.contributor.authorProvos, Nielsen_US
dc.contributor.authorHoneyman, Peteren_US
dc.date.accessioned2014-07-18T18:11:51Z
dc.date.available2014-07-18T18:11:51Z
dc.date.issued2001-08-31en_US
dc.identifier.citationNiels Provos and Peter Honeyman, "Detecting Steganographic Content on the Internet," August 2001. [NDSS '02, San Diego (February 2002)] <http://hdl.handle.net/2027.42/107898>en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/107898
dc.description.abstractSteganography is used to hide the occurrence of communication. Recent suggestions in US newspapers indicate that terrorists use steganography to communicate in secret with their accomplices. In particular, images on the Internet were mentioned as the communication medium. While the newspaper articles sounded very dire, none substantiated these rumors. To determine whether there is steganographic content on the Internet, this paper presents a detection framework that includes tools to retrieve images from the world wide web and automatically detect whether they might contain steganographic content. To ascertain that hidden messages exist in images, the detection framework includes a distributed computing framework for launching dictionary attacks hosted on a cluster of loosely coupled workstations. We have analyzed two million images downloaded from eBay auctions but have not been able to find a single hidden message.en_US
dc.publisherCenter for Information Technology Integrationen_US
dc.titleDetecting Steganographic Content on the Interneten_US
dc.typeTechnical Reporten_US
dc.subject.hlbsecondlevelComputer Scienceen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.contributor.affiliationumCenter for Information Technology Integrationen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/107898/1/citi-tr-01-11.pdf
dc.owningcollnameElectrical Engineering and Computer Science, Department of (EECS)


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