Application of Big Data Analytics to Support Homeland Security Investigations Targeting Human Smuggling Networks
Naval Postgraduate School Monterey United States
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Human smuggling organizations facilitating the smuggling of aliens into the United States have an unlawful network supporting their illicit transnational activities. Identifying those networks and the key facilitators is challenging due to high volumes of disparate data. This research focuses on how big data analytics can improve the effectiveness and efficiency of Homeland Security Investigations HSI targeting human smuggling networks. The purpose of this thesis is to determine whether applying big data analytics to data associated with human smuggling will make network identification of illegal aliens more efficient while producing the necessary articulable facts to substantiate enough probable cause for subsequent investigative actions. An experimental data analytics application called Citrus is used to examine the efficiency and effectiveness of data analytics supporting criminal investigations.
- Sociology and Law
- Information Science