Fuzzy based binary feature profiling for modus operandi analysis

PeerJ Computer Science

Aththanapola Arachchilage Chathranee Anumitha Jayathilake¹  Roshan Dharshana Yapa²  Akalanka Galappaththi²  Ruwan Dharshana Nawarathna²  Saluka Ranasinghe Kodituwakku²  Mahawaga Arachchige Pathum Chamikara²  Jagath Gunatilake²  Liwan Liyanage³ 

[1] Faculty of Science, University of Peradeniya, Peradeniya, Sri Lanka;Postgraduate Institute of Science (PGIS), University of Peradeniya, Peradeniya, Sri Lanka;School of Computing, Engineering and Mathematics, University of Western Sydney, Western Sydney, NSW, Australia;

关键词: Modus operandi analysis;    Fuzzy inference systems;    Binary feature analysis;    Classification;    Association rule mining;   

DOI  :  10.7717/peerj-cs.65

来源: DOAJ

【 摘 要 】

It is a well-known fact that some criminals follow perpetual methods of operations known as modi operandi. Modus operandi is a commonly used term to describe the habits in committing crimes. These modi operandi are used in relating criminals to crimes for which the suspects have not yet been recognized. This paper presents the design, implementation and evaluation of a new method to find connections between crimes and criminals using modi operandi. The method involves generating a feature matrix for a particular criminal based on the flow of events of his/her previous convictions. Then, based on the feature matrix, two representative modi operandi are generated: complete modus operandi and dynamic modus operandi. These two representative modi operandi are compared with the flow of events of the crime at hand, in order to generate two other outputs: completeness probability (CP) and deviation probability (DP). CP and DP are used as inputs to a fuzzy inference system to generate a score which is used in providing a measurement for the similarity between the suspect and the crime at hand. The method was evaluated using actual crime data and ten other open data sets. In addition, comparison with nine other classification algorithms showed that the proposed method performs competitively with other related methods proving that the performance of the new method is at an acceptable level.

【 授权许可】

Unknown