A Statistical Approach to the Detection of HTML Attribute Permutation Steganography

Sedeeq Iman, Coenen Frans, Lisitsa Alexei

2016

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.

Paper Citation

in Harvard Style

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 - Volume 1: ICISSP, ISBN 978-989-758-167-0, pages 522-527. DOI: 10.5220/0005801705220527

in Bibtex Style

@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 - Volume 1: ICISSP,},
year={2016},
pages={522-527},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005801705220527},
isbn={978-989-758-167-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,
TI - A Statistical Approach to the Detection of HTML Attribute Permutation Steganography
SN - 978-989-758-167-0
AU - Iman S.
AU - Frans C.
AU - Alexei L.
PY - 2016
SP - 522
EP - 527
DO - 10.5220/0005801705220527