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Increasing Accuracy of Process-based Fraud Detection Using a Behavior Model

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJSEIA) 바로가기
  • 간행물
    International Journal of Software Engineering and Its Applications SCOPUS 바로가기
  • 통권
    Vol.10 No.5 (2016.05)바로가기
  • 페이지
    pp.175-188
  • 저자
    Solichul Huda, Riyanarto Sarno, Tohari Ahmad
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A275440

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원문정보

초록

영어
Process-based fraud (PBF) is fraud caused by deviation from a business process model. Some studies have proposed methods for PBF detection; however, these are still not able to fully detect the occurrence of fraud. In this context, we propose a new method of PBF detection which carries out the behavior of the originators (users who perform events) to adjust the levels of fraud occured in the events. In this research, we propose a method of PBF detection with behavior model in order to increase accuracy. This is done firstly by analyzing the business processes that correspond to those in the standard operating system (SOP). Secondly, by calculating the event execution performed by the originator and his/her relations within the organization, whose behavior is then analyzed. Thirdly, by using the number of deviations and the originator behavior to calculate the attribute value. By using attribute importance weights, an attribute rating of each originator is kept. Finally, Multi Attribute Decision Making is used to decide the PBF rating of a case, on the basis of which it is decided whether fraud occurred or not. The experimental results show that this behavior model is able to reduce false positive and false negative, therefore, the method can increase the accuracy level by 0.03.

목차

Abstract
 1. Introduction
 2. Previous Works
 3. Process-based Fraud Detection Method
  3.1. Process Mining for Fraud Detection
  3.2. PBF Attributes
  3.3. PBF Attribute Importance Weights
  3.4. Originator Behavior Model
  3.5. Implementation of Methods
 4. Method Evaluation
  4.1. Experimental design
  4.2. Experiment Results and Discussion
 5. Conclusion
 References

키워드

Fraud detection PBF detection originator behavior behavior model process deviation

저자

  • Solichul Huda [ Department of Informatics, Universitas Dian Nuswantoro,Semarang, Indonesia ]
  • Riyanarto Sarno [ Department of Informatics, Institut Teknologi Sepuluh Nopember (ITS), Surabaya, Indonesia ]
  • Tohari Ahmad [ Department of Informatics, Institut Teknologi Sepuluh Nopember (ITS), Surabaya, Indonesia ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJSEIA) [Science & Engineering Research Support Center, Republic of Korea(IJSEIA)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Software Engineering and Its Applications
  • 간기
    월간
  • pISSN
    1738-9984
  • 수록기간
    2008~2016
  • 등재여부
    SCOPUS
  • 십진분류
    KDC 505 DDC 605

이 권호 내 다른 논문 / International Journal of Software Engineering and Its Applications Vol.10 No.5

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