Abstract
We developed Cyber Forensics Ontology for the criminal investigation in cyber space. Cyber crime is classified into cyber terror and general cyber crime, and those two classes are connected with each other. The investigation of cyber terror requires high technology, system environment and experts, and general cyber crime is connected with general crime by evidence from digital data and cyber space. Accordingly, it is difficult to determine relational crime types and collect evidence. Therefore, we considered the classifications of cyber crime, the collection of evidence in cyber space and the application of laws to cyber crime. In order to efficiently investigate cyber crime, it is necessary to integrate those concepts for each cyber crime-case. Thus, we constructed a cyber forensics domain ontology for criminal investigation in cyber space, according to the categories of cyber crime, laws, evidence and information of criminals. This ontology can be used in the process of investigating of cyber crime-cases, and for data mining of cyber crime; classification, clustering, association and detection of crime types, crime cases, evidences and criminals.
The original version of this chapter was revised: The copyright line was incorrect. This has been corrected. The Erratum to this chapter is available at DOI: 10.1007/978-3-642-02312-5_25
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References
Chen, H., Chung, W., Xu, J.J., Qin, G., Chau, M.: Crime Data Mining: A General Framework and Some Examples. Computer 37(4), 50–56 (2004)
Brinson, A., Robinson, A., Rogers, M.: A cyber forensics ontology: Creating a new approach to studying cyber forensics. Digital Investigation 3S, S37–S43 (2006)
Gruber, T.R.: A Translation Approach to Portable Ontology Specifications. Knowledge Acquisition 5(2), 199–220 (1993)
Gruber, T. : http://tomgruber.org/writing/ontology-definition-2007.htm
Horridge, M., Knublauch, H., Rector, A., Wroe, C.: A Practical Guide To Building OWL Ontologies Using The Prot´eg´e-OWL Plugin and CO-ODE Tools. Univ. Manchester (2007)
The Cyber Terror Response Center (CTRC) of the Korean National Police Agency (KNPA), http://www.netan.go.kr/eng/index.jsp
Donalds, C.M., Osei-Bryson, K.: Criminal Investigation Knowledge System: CRIKS. In: The 39th Annual Hawaii International Conference on System Sciences, vol. 7, pp. 152–160 (2006)
Dzemydiene, D., Kazemikaitiene, E.: Ontology-Based Decision Support System for Crime Investigation Processes. In: Information Systems Development, pp. 427–438. Springer, Heidelberg (2005)
Dzemydiene, D.: Knowledge Representation in Advisory Information System of Crime Investigation Domain. In: Databases and Information Systems II, pp. 135–146. Springer, Heidelberg (2002)
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© 2009 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Park, H., Cho, S., Kwon, HC. (2009). Cyber Forensics Ontology for Cyber Criminal Investigation. In: Sorell, M. (eds) Forensics in Telecommunications, Information and Multimedia. e-Forensics 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 8. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02312-5_18
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DOI: https://doi.org/10.1007/978-3-642-02312-5_18
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