TY - GEN
T1 - Human Trafficking Interdiction Problem
T2 - 2022 IEEE International Symposium on Technologies for Homeland Security, HST 2022
AU - Sen, A.
AU - Adeniye, S.
AU - Basu, K.
AU - Ravishankar, S.
AU - Sefair, J.
AU - Roe-Sepowitz, D.
AU - Helderop, E.
AU - Grubesic, T.
AU - Sen, A. B.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Based on the human trafficking incidence data from the Las Vegas Metropolitan Police Department (LVMPD), we have built a model of movement patterns of traffickers within the contiguous US states. We utilized the model for developing interdiction strategies for the law enforcement authorities, with the goal of maximizing interdiction pay-off within the agency budget, where pay-off is measured in terms of the number of trafficking incidences disrupted. In addition, from the U.S. Interstate Highway Map, we have built a U.S. Interstate Network Graph (USING) to test our interdiction pay-off maximization algorithm. This is a realistic approximation of the U.S. highway system and will be made available to researchers engaged in trafficking interdiction research. Finally, we evaluate our techniques on the data from LVMPD on USING and present the results.
AB - Based on the human trafficking incidence data from the Las Vegas Metropolitan Police Department (LVMPD), we have built a model of movement patterns of traffickers within the contiguous US states. We utilized the model for developing interdiction strategies for the law enforcement authorities, with the goal of maximizing interdiction pay-off within the agency budget, where pay-off is measured in terms of the number of trafficking incidences disrupted. In addition, from the U.S. Interstate Highway Map, we have built a U.S. Interstate Network Graph (USING) to test our interdiction pay-off maximization algorithm. This is a realistic approximation of the U.S. highway system and will be made available to researchers engaged in trafficking interdiction research. Finally, we evaluate our techniques on the data from LVMPD on USING and present the results.
UR - http://www.scopus.com/inward/record.url?scp=85148467582&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85148467582&partnerID=8YFLogxK
U2 - 10.1109/HST56032.2022.10025431
DO - 10.1109/HST56032.2022.10025431
M3 - Conference contribution
AN - SCOPUS:85148467582
T3 - 2022 IEEE International Symposium on Technologies for Homeland Security, HST 2022
BT - 2022 IEEE International Symposium on Technologies for Homeland Security, HST 2022
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 14 November 2022 through 15 November 2022
ER -