InVEST: Intelligent visual email search and triage

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• 作者：Jay Koven ; ^{jkoven@nyu.edu" class="auth_mail" title="E-mail the corresponding author} ; ; Enrico Bertini ^{enrico.bertini@nyu.edu" class="auth_mail" title="E-mail the corresponding author} ; Luke Dubois ^{dubois@nyu.edu" class="auth_mail" title="E-mail the corresponding author} ; Nasir Memon ^{memon@nyu.edu" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Email forensics ; Data forensics ; Data visualization ; Email search ; Data analytics
• 刊名：Digital Investigation
• 出版年：2016
• 出版时间：7 August 2016
• 年：2016
• 卷：18
• 期：supp_S
• 页码：S138-S148
• 全文大小：2204 K

文摘

Large email data sets are often the focus of criminal and civil investigations. This has created a daunting task for investigators due to the extraordinary size of many of these collections. Our work offers an interactive visual analytic alternative to the current, manually intensive methodology used in the search for evidence in large email data sets. These sets usually contain many emails which are irrelevant to an investigation, forcing investigators to manually comb through information in order to find relevant emails, a process which is costly in terms of both time and money. To aid the investigative process we combine intelligent preprossessing, a context aware visual search, and a results display that presents an integrated view of diverse information contained within emails. This allows an investigator to reduce the number of emails that need to be viewed in detail without the current tedious manual search and comb process.