Towards an integrated e-mail forensic analysis framework
| Autor: | Adam Szporer, Mourad Debbabi, Farkhund Iqbal, Djamel Benredjem, Hakim Lounis, Rachid Hadjidj |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
business.industry
Computer science Internet privacy Poison control Human factors and ergonomics ComputingMilieux_LEGALASPECTSOFCOMPUTING Context (language use) Computer security computer.software_genre Phishing Computer Science Applications Task (project management) Spamming Medical Laboratory Technology Child pornography Harassment ComputingMilieux_COMPUTERSANDSOCIETY business Law computer |
| Zdroj: | Digital Investigation. 5:124-137 |
| ISSN: | 1742-2876 |
| DOI: | 10.1016/j.diin.2009.01.004 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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