Application of Big Data Analytics to Support Homeland Security Investigations Targeting Human Smuggling Networks

Abstract

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.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2018
Accession Number
AD1052672

Entities

People

  • Thomas A. Hodge

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Cyber
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Big Data
  • Criminal Investigations
  • Criminals
  • Data Analysis
  • Data Science
  • Employment
  • Homeland Security
  • Identification
  • Information Science
  • Judicial Process
  • Law
  • National Security
  • Personnel Management
  • Security
  • Social Media
  • Societies
  • Undocumented Noncitizens

Readers

  • Criminal Law
  • Distributed Systems and Data Platform Development
  • Political Violence and Terrorism Studies.