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Authors: Sedeeq Iman ; Coenen Frans and Lisitsa Alexei

Affiliation: University of Liverpool, United Kingdom

Keyword(s): Steganography, Standard Deviation, Attribute Permutation.

Related Ontology Subjects/Areas/Topics: Data and Application Security and Privacy ; Database Security ; Information and Systems Security ; Information Assurance ; Information Hiding

Abstract: A mechanism for monitoring WWW pages to identify the presence (or otherwise) of attribute permutation steganography is presented. The proposed mechanism is based on a statistical approach, more specifically an attribute position Standard Deviation (SD) measure is used to detect the modification of attribute locations within webpages. The monitoring of web pages involves usage of a SD threshold. The determination of this threshold involves a training process using seeded training data. Once a threshold has been learnt monitoring can be commenced. An evaluation of the process is presented indicating that the attribute position SD concept can be successfully used to monitor web pages for attribute permutation steganography.

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Paper citation in several formats:
Iman, S.; Frans, C. and Alexei, L. (2016). A Statistical Approach to the Detection of HTML Attribute Permutation Steganography. In Proceedings of the 2nd International Conference on Information Systems Security and Privacy - ICISSP; ISBN 978-989-758-167-0; ISSN 2184-4356, SciTePress, pages 522-527. DOI: 10.5220/0005801705220527

@conference{icissp16,
author={Sedeeq Iman. and Coenen Frans. and Lisitsa Alexei.},
title={A Statistical Approach to the Detection of HTML Attribute Permutation Steganography},
booktitle={Proceedings of the 2nd International Conference on Information Systems Security and Privacy - ICISSP},
year={2016},
pages={522-527},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005801705220527},
isbn={978-989-758-167-0},
issn={2184-4356},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Information Systems Security and Privacy - ICISSP
TI - A Statistical Approach to the Detection of HTML Attribute Permutation Steganography
SN - 978-989-758-167-0
IS - 2184-4356
AU - Iman, S.
AU - Frans, C.
AU - Alexei, L.
PY - 2016
SP - 522
EP - 527
DO - 10.5220/0005801705220527
PB - SciTePress

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