About: System steganalysis with automatic fingerprint extraction

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type	http://eprints.org/ontology/ArticleEPrint http://eprints.org/ontology/EPrint Article Academic Article
seeAlso	HTML Summary of #67066 System steganalysis with automatic fingerprint extraction
sameAs	System steganalysis with automatic fingerprint extraction
http://eprints.org/ontology/hasDocument	System steganalysis with automatic fingerprint extraction (PDF) System steganalysis with automatic fingerprint extraction (Other)
http://eprints.org/ontology/hasPublished	System steganalysis with automatic fingerprint extraction (PDF)
dc:hasVersion	System steganalysis with automatic fingerprint extraction (PDF)
Title	System steganalysis with automatic fingerprint extraction
described by	https://demo.openlinksw.com/about/id/entity/https/www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3 https://demo.openlinksw.com/about/id/entity/https/raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
Date	2018-04-25
Creator	Tom Sloan Alejandro Cervantes Pedro Isasi J. Hernandez-Castro
status	peer reviewed published
Publisher	Public Library of Science
abstract	This paper tries to tackle the modern challenge of practical steganalysis over large data by presenting a novel approach whose aim is to perform with perfect accuracy and in a completely automatic manner. The objective is to detect changes introduced by the steganographic process in those data objects, including signatures related to the tools being used. Our approach achieves this by first extracting reliable regularities by analyzing pairs of modified and unmodified data objects; then, combines these findings by creating general patterns present on data used for training. Finally, we construct a Naive Bayes model that is used to perform classification, and operates on attributes extracted using the aforementioned patterns. This technique has been be applied for different steganographic tools that operate in media files of several types. We are able to replicate or improve on a number or previously published results, but more importantly, we in addition present new steganalytic findings over a number of popular tools that had no previous known attacks.
Is Part Of	PLOS ONE https://kar.kent.ac.uk/id/repository
list of authors	https://kar.kent.ac.uk/id/eprint/67066#authors
issue	4
volume	13
is topic of	https://www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3 https://raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
is primary topic of	HTML Summary of #67066 System steganalysis with automatic fingerprint extraction

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