Indicators of Radicalization, Extremism and Terrorist Group Affiliation Among Illegal Migrants: A Case Study Analysis from the Operational Practice

This report presents an analysis of real cases from operational practice in countering illegal migration, radicalization, and terrorism. These cases are based on events from the working process in the context of operational investigations and high-risk operations for identifying and arresting illegal migrants in Republic of Bulgaria.The report analyzes the intelligence picture and common risk indicators identified among migrants. It proposes an established and tested algorithm for action for intelligence officers and agents with the aim of contributing to better understanding of radicalization processes in the migration context and identifying individuals with high-risk profiles in the domain of fighting crime and protecting the national security of the state.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-01
DOI
https://doi.org/10.5281/zenodo.17560158
Primary Topic
Terrorism, Counterterrorism, and Political Violence
Type
article
Field-Weighted Citation Impact
0.00
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article

Indicators of Radicalization, Extremism and Terrorist Group Affiliation Among Illegal Migrants: A Case Study Analysis from the Operational Practice

Zenodo (CERN European Organization for Nuclear Research)
Terrorism, Counterterrorism, and Political Violence
article

Indicators of Radicalization, Extremism and Terrorist Group Affiliation Among Illegal Migrants: A Case Study Analysis from the Operational Practice

article en

Abstract

This report presents an analysis of real cases from operational practice in countering illegal migration, radicalization, and terrorism. These cases are based on events from the working process in the context of operational investigations and high-risk operations for identifying and arresting illegal migrants in Republic of Bulgaria.The report analyzes the intelligence picture and common risk indicators identified among migrants. It proposes an established and tested algorithm for action for intelligence officers and agents with the aim of contributing to better understanding of radicalization processes in the migration context and identifying individuals with high-risk profiles in the domain of fighting crime and protecting the national security of the state.

Zenodo (CERN European Organization for Nuclear Research)
Reduced inequalities
Openalex Percentile: Top 33%
Terrorism, Counterterrorism, and Political Violence
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Indicators of Radicalization, Extremism and Terrorist Group Affiliation Among Illegal Migrants: A Case Study Analysis from the Operational Practice · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS