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A Study on Conspired Insurance Fraud Detection Modeling Using Social Network Analysis

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2020, 25(3), pp.117-127
  • DOI : 10.9708/jksci.2020.25.03.117
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : February 14, 2020
  • Accepted : March 19, 2020
  • Published : March 31, 2020

Tae-Ho Kim 1 Lim Jong In 1

1고려대학교

Accredited

ABSTRACT

Recently, proving insurance fraud has become increasingly difficult because it occurs intentionally and secretly via organized and intelligent conspiracy by specialists such as medical personnel, maintenance companies, insurance planners, and insurance subscribers. In the case of car accidents, it is difficult to prove intentions; in particular, an insurance company with no investigation rights has practical limitations in proving the suspicions. This paper aims reveal that the detection of organized and conspired insurance fraud, which had previously been difficult, could be dramatically improved through conspiring insurance fraud detection modeling using social network analysis and visualization of the relation between suspected group entities and by seeking developmental research possibilities of data analysis techniques.

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