An Ontological Approach to Classifying Cybercrimes in an ICT4D Context

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10844)

Abstract

While the phenomenon of cybercrime remains a challenge for governments worldwide, it is even more of a challenge for countries in an ICT4D context since they possess limited technical skills and resources to respond to, investigate and prosecute nefarious cyber activities. Despite the challenges, governments have responded by establishing legal frameworks and Computer Security Incident Response Teams. However, scholars argue that the cybercrime phenomenon is still not well understood; which is compounded by the lack of an accepted, uniform cybercrime classification scheme or ontology with which to classify cybercrimes. While few classification schemes have been published, same are limited in that they are not comprehensive; i.e., they are unable to account for the range of and ever changing types of cybercrimes and, the schemes are largely incompatible, focusing on different perspectives. This makes holistic and consistent classification improbable. To address these gaps we propose a formal cybercrime classification ontology, expressed in OWL Ontology Language. In designing our ontology we were guided by the steps of the design science research methodology. This paper contributes a formal ontology of a ‘shared conceptualization’ of cybercrimes by police practitioners and researchers. The ontology presented here is improved over prior works since it incorporates multiple perspectives and its design is better able to handle existing and future cybercrimes, a most salient feature given the dynamic nature of cybercrimes. We demonstrate the ontology by applying it to an actual cybercrime case. The designed ontology effectively classifies the cybercrime and has the potential to improve cybercrime classification in ICT4D and developed contexts.

Keywords

Cybercrime classification Ontology Developing country 

References

  1. 1.
    Accenture: 2017 Cost of Cyber Crime Study. Ponemon Institute LLC and Accenture (2017)Google Scholar
  2. 2.
  3. 3.
    Organization of American States (OAS) & Symantec. http://www.symantec.com/content/en/us/enterprise/other_resources/b-cyber-security-trends-report-lamc.pdf. Accessed 17 Feb 2015
  4. 4.
    Barn, R., Barn, B.: An ontological representation of a taxonomy for cybercrime. In: 24th European Conference on Information Systems (ECIS), İstanbul, Turkey (2016)Google Scholar
  5. 5.
    Ngo, F., Jaishankar, K.: Commemorating a decade in existence of the international journal of cyber criminology: a research agenda to advance the scholarship on cyber crime. Int. J. Cyber Criminol. 11(1), 1–9 (2017)Google Scholar
  6. 6.
    Stabek, A., Brown, S., Watters, P.A.: The case for a consistent cyberscam classification framework (CCCF). In: Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing, UIC-ATC 2009, Brisbane, Australia (2009)Google Scholar
  7. 7.
    Donalds, C., Osei-Bryson, K.-M.: A cybercrime taxonomy: case of the Jamaican jurisdiction. In: CONF-IRM 2014 Proceedings, p. 5 (2014)Google Scholar
  8. 8.
    Land, L., Smith, S., Winchester, D., Pang, V.: The construction of identity offences taxonomy: an Australian context. In: 25th Australasian Conference on Information Systems, Auckland, New Zealand (2014)Google Scholar
  9. 9.
    Simmons, C., Ellis, C., Shiva, S., Dasgupta, D., Wu, Q.: AVOIDIT: a cyber attack taxonomy. Technical report: CS-09-003, University of Memphis (2009)Google Scholar
  10. 10.
    Gruber, T.R.: Toward principles for the design of ontologies used for knowledge sharing. Int. J. Hum.-Comput. Stud. 43(5–6), 907–928 (1995)CrossRefGoogle Scholar
  11. 11.
    Noy, N.F., McGuinness, D.L.: Ontology development 101: a guide to creating your first ontology. Stanford knowledge systems laboratory technical report KSL-01-05 and Stanford medical informatics technical report SMI-2001-0880, vol. 15, p. 25, Stanford, CA (2001)Google Scholar
  12. 12.
    Staab, S., Studer, R., Schnurr, H.-P., Sure, Y.: Knowledge processes and ontologies. IEEE Intell. Syst. 16(1), 26–34 (2001)CrossRefGoogle Scholar
  13. 13.
    Undercoffer, J., Pinkston, J., Joshi, A., Finin, T.: A target-centric ontology for intrusion detection. In: IJCAI-2003 Workshop on Ontologies and Distributed Systems, pp. 47–58 (2004)Google Scholar
  14. 14.
    van Herdeen, R., Irwin, B., Burke, I.D., Leenen, L.: A computer network attack taxonomy and ontology. Int. J. Cyber Warfare Terrorism 2, 12–25 (2012)CrossRefGoogle Scholar
  15. 15.
    Council of Europe.: Convention on Cybercrime. http://conventions.coe.int/Treaty/en/Treaties/Html/185.htm. Accessed 20 July 2012
  16. 16.
    Kjaerland, M.: A taxonomy and comparison of computer security incidents from the commercial and government sectors. Comput. Secur. 25(7), 522–538 (2005)CrossRefGoogle Scholar
  17. 17.
    Simon, H.: The Sciences of Artificial. MIT Press, Cambridge (1996)Google Scholar
  18. 18.
    Hevner, A.R., March, S.T., Park, J.: Design science in information systems research. MIS Q. 28(1), 75–105 (2004)CrossRefGoogle Scholar
  19. 19.
    Peffers, K., Tuunanen, T., Rothenberger, M.A., Chatterjee, S.: A design science research methodology for information systems research. J. Manag. Inf. Syst. 24(3), 45–78 (2007)CrossRefGoogle Scholar
  20. 20.
    Gregor, S., Hevner, A.R.: Positioning and presenting design science research for maximum impact. MIS Q. 37(2), 337–355 (2013)CrossRefGoogle Scholar
  21. 21.
    Howard, J.D.: An analysis of security incidents on the Internet 1989–1995. Engineering and Public Policy, Doctor of Philosophy, pp. 1–319. Carnegie Melon University, Pittsburg (1997)Google Scholar
  22. 22.
    Jamaica Information Service: COPS Make Major Breakthrough in Cybercrime. JIS Service. http://jis.gov.jm/cops-make-major-breakthrough-in-cybercrime/. Accessed 6 Dec 2016
  23. 23.
    The Gleaner: Denyque Praises Cops On Porn Hacker Case. http://jamaica-gleaner.com/gleaner/20120905/lead/lead6.html. Accessed 6 Dec 2016

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.University of the West IndiesMona KingstonJamaica
  2. 2.Virginia Commonwealth UniversityRichmondUSA

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