On augmented identifying codes for monitoring drug trafficking organizations

Kaustav Basu, Arunabha Sen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

A staggering 450,000 people died due to drug consumption in 2015, out of which, a third of the deaths were a direct result of drug overdosing. Illicit manufacturing of Cocaine, Heroin, Cannabis, etc., by Drug Trafficking Organizations (DTOs), all peaked recently, which is a major indication of their worldwide demand. With drug offenses increasing globally, the list of suspect individuals, associated with drug trafficking organizations, has also been growing over the past few decades. As it takes significant amount of technical and human resources to monitor a suspect, an increasing list entails greater resource requirements on the part of law enforcement agencies. Soon, monitoring all the suspects on the list becomes an impossible task. In this paper, we present a novel methodology called Augmented Identifying Codes (AIC), an extension of the mathematical notion of Identifying Codes. We show that our method requires significantly lesser resources, on the part of the law enforcement agencies, when compared to strategies adopting standard network centrality measures, for monitoring of individuals associated with drug trafficking organizations. Finally, we evaluate the efficacy of our approach on real world datasets.

Original languageEnglish (US)
Title of host publicationProceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019
EditorsFrancesca Spezzano, Wei Chen, Xiaokui Xiao
PublisherAssociation for Computing Machinery, Inc
Pages1136-1139
Number of pages4
ISBN (Electronic)9781450368681
DOIs
StatePublished - Aug 27 2019
Event11th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019 - Vancouver, Canada
Duration: Aug 27 2019Aug 30 2019

Publication series

NameProceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019

Conference

Conference11th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019
CountryCanada
CityVancouver
Period8/27/198/30/19

Keywords

  • Augmented identifying code
  • Drug trafficking organizations
  • Surveillance

ASJC Scopus subject areas

  • Communication
  • Computer Networks and Communications
  • Information Systems and Management
  • Sociology and Political Science

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