@article{ref1,
title="Towards an integrated e-mail forensic analysis framework",
journal="Digital investigation",
year="2009",
author="Hadjidj, Rachid and Debbabi, Mourad and Lounis, Hakim and Iqbal, Farkhund and Szporer, Adam and Benredjem, Djamel",
volume="5",
number="3-4",
pages="124-137",
abstract="Due to its simple and inherently vulnerable nature, e-mail communication is abused for numerous illegitimate purposes. E-mail spamming, phishing, drug trafficking, cyber bullying, racial vilification, child pornography, and sexual harassment are some common e-mail mediated cyber crimes. Presently, there is no adequate proactive mechanism for securing e-mail systems. In this context, forensic analysis plays a major role by examining suspected e-mail accounts to gather evidence to prosecute criminals in a court of law. To accomplish this task, a forensic investigator needs efficient automated tools and techniques to perform a multi-staged analysis of e-mail ensembles with a high degree of accuracy, and in a timely fashion. In this article, we present our e-mail forensic analysis software tool, developed by integrating existing state-of-the-art statistical and machine-learning techniques complemented with social networking techniques. In this framework we incorporate our two proposed authorship attribution approaches; one is presented for the first time in this article. (C) 2009 Elsevier Ltd. All rights reserved.<p /><p>Language: en</p>",
language="en",
issn="1742-2876",
doi="10.1016/j.diin.2009.01.004",
url="http://dx.doi.org/10.1016/j.diin.2009.01.004"
}