Topological analysis of criminal activity networks: Enhancing transportation security

Siddharth Kaza, Jennifer Xu, Byron Marshall, Hsinchun Chen

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

The security of border and transportation systems is a critical component of the national strategy for homeland security. The security concerns at the border are not independent of law enforcement in border-area jurisdictions because the information known by local law enforcement agencies may provide valuable leads that are useful for securing the border and transportation infrastructure. The combined analysis of law enforcement information and data generated by vehicle license plate readers at international borders can be used to identify suspicious vehicles and people at ports of entry. This not only generates better quality leads for border protection agents but may also serve to reduce wait times for commerce, vehicles, and people as they cross the border. This paper explores the use of criminal activity networks (CANs) to analyze information from law enforcement and other sources to provide value for transportation and border security. We analyze the topological characteristics of CAN of individuals and vehicles in a multiple jurisdiction scenario. The advantages of exploring the relationships of individuals and vehicles are shown. We find that large narcotic networks are small world with short average path lengths ranging from 4.5 to 8.5 and have scale-free degree distributions with power law exponents of 0.851.3. In addition, we find that utilizing information from multiple jurisdictions provides higher quality leads by reducing the average shortest-path lengths. The inclusion of vehicular relationships and border-crossing information generates more investigative leads that can aid in securing the border and transportation infrastructure.

Original languageEnglish (US)
Article number4770174
Pages (from-to)83-91
Number of pages9
JournalIEEE Transactions on Intelligent Transportation Systems
Volume10
Issue number1
DOIs
StatePublished - 2009

Fingerprint

Law enforcement
License plates (automobile)
Small-world networks
National security

Keywords

  • Border and transportation security
  • Homeland security
  • Social network analysis

ASJC Scopus subject areas

  • Automotive Engineering
  • Computer Science Applications
  • Mechanical Engineering

Cite this

Topological analysis of criminal activity networks : Enhancing transportation security. / Kaza, Siddharth; Xu, Jennifer; Marshall, Byron; Chen, Hsinchun.

In: IEEE Transactions on Intelligent Transportation Systems, Vol. 10, No. 1, 4770174, 2009, p. 83-91.

Research output: Contribution to journalArticle

@article{a198ec75c1ba4236826f141f8c1f135d,
title = "Topological analysis of criminal activity networks: Enhancing transportation security",
abstract = "The security of border and transportation systems is a critical component of the national strategy for homeland security. The security concerns at the border are not independent of law enforcement in border-area jurisdictions because the information known by local law enforcement agencies may provide valuable leads that are useful for securing the border and transportation infrastructure. The combined analysis of law enforcement information and data generated by vehicle license plate readers at international borders can be used to identify suspicious vehicles and people at ports of entry. This not only generates better quality leads for border protection agents but may also serve to reduce wait times for commerce, vehicles, and people as they cross the border. This paper explores the use of criminal activity networks (CANs) to analyze information from law enforcement and other sources to provide value for transportation and border security. We analyze the topological characteristics of CAN of individuals and vehicles in a multiple jurisdiction scenario. The advantages of exploring the relationships of individuals and vehicles are shown. We find that large narcotic networks are small world with short average path lengths ranging from 4.5 to 8.5 and have scale-free degree distributions with power law exponents of 0.851.3. In addition, we find that utilizing information from multiple jurisdictions provides higher quality leads by reducing the average shortest-path lengths. The inclusion of vehicular relationships and border-crossing information generates more investigative leads that can aid in securing the border and transportation infrastructure.",
keywords = "Border and transportation security, Homeland security, Social network analysis",
author = "Siddharth Kaza and Jennifer Xu and Byron Marshall and Hsinchun Chen",
year = "2009",
doi = "10.1109/TITS.2008.2011695",
language = "English (US)",
volume = "10",
pages = "83--91",
journal = "IEEE Transactions on Intelligent Transportation Systems",
issn = "1524-9050",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "1",

}

TY - JOUR

T1 - Topological analysis of criminal activity networks

T2 - Enhancing transportation security

AU - Kaza, Siddharth

AU - Xu, Jennifer

AU - Marshall, Byron

AU - Chen, Hsinchun

PY - 2009

Y1 - 2009

N2 - The security of border and transportation systems is a critical component of the national strategy for homeland security. The security concerns at the border are not independent of law enforcement in border-area jurisdictions because the information known by local law enforcement agencies may provide valuable leads that are useful for securing the border and transportation infrastructure. The combined analysis of law enforcement information and data generated by vehicle license plate readers at international borders can be used to identify suspicious vehicles and people at ports of entry. This not only generates better quality leads for border protection agents but may also serve to reduce wait times for commerce, vehicles, and people as they cross the border. This paper explores the use of criminal activity networks (CANs) to analyze information from law enforcement and other sources to provide value for transportation and border security. We analyze the topological characteristics of CAN of individuals and vehicles in a multiple jurisdiction scenario. The advantages of exploring the relationships of individuals and vehicles are shown. We find that large narcotic networks are small world with short average path lengths ranging from 4.5 to 8.5 and have scale-free degree distributions with power law exponents of 0.851.3. In addition, we find that utilizing information from multiple jurisdictions provides higher quality leads by reducing the average shortest-path lengths. The inclusion of vehicular relationships and border-crossing information generates more investigative leads that can aid in securing the border and transportation infrastructure.

AB - The security of border and transportation systems is a critical component of the national strategy for homeland security. The security concerns at the border are not independent of law enforcement in border-area jurisdictions because the information known by local law enforcement agencies may provide valuable leads that are useful for securing the border and transportation infrastructure. The combined analysis of law enforcement information and data generated by vehicle license plate readers at international borders can be used to identify suspicious vehicles and people at ports of entry. This not only generates better quality leads for border protection agents but may also serve to reduce wait times for commerce, vehicles, and people as they cross the border. This paper explores the use of criminal activity networks (CANs) to analyze information from law enforcement and other sources to provide value for transportation and border security. We analyze the topological characteristics of CAN of individuals and vehicles in a multiple jurisdiction scenario. The advantages of exploring the relationships of individuals and vehicles are shown. We find that large narcotic networks are small world with short average path lengths ranging from 4.5 to 8.5 and have scale-free degree distributions with power law exponents of 0.851.3. In addition, we find that utilizing information from multiple jurisdictions provides higher quality leads by reducing the average shortest-path lengths. The inclusion of vehicular relationships and border-crossing information generates more investigative leads that can aid in securing the border and transportation infrastructure.

KW - Border and transportation security

KW - Homeland security

KW - Social network analysis

UR - http://www.scopus.com/inward/record.url?scp=61849146323&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=61849146323&partnerID=8YFLogxK

U2 - 10.1109/TITS.2008.2011695

DO - 10.1109/TITS.2008.2011695

M3 - Article

AN - SCOPUS:61849146323

VL - 10

SP - 83

EP - 91

JO - IEEE Transactions on Intelligent Transportation Systems

JF - IEEE Transactions on Intelligent Transportation Systems

SN - 1524-9050

IS - 1

M1 - 4770174

ER -