Subject: Q Science (General)
Year: 2022
Type: Article
Type: PeerReviewed
Title: Analysis of cybercriminals and where they fall on the spectrum of crime
Author: Arbnora, Miftari
Author: Shkurte, Luma-Osmani
Author: Florim, Idrizi
Abstract: Analysis of published papers on criminal behavior raises questions about whether even the nature of cybercrime leaves room for the usual characteristics that show up in other types of criminals. This issue provides enough basis to consider a descriptive and quasi-experimental research aimed only at cybercriminals, which is also the aim of this paper. Taking into account the fact that there are almost no papers published on the same subject, the methods of this research are based on the gathering and analysis of raw data - videos and interviews of various cybercriminals, some under their real identity and others using pseudonyms. The observed characteristics will be compared with those of other types of criminals and with eachother, in an attempt to distinguish between causes and correlations in personality, social, economic and possibly other external and internal factors.
Publisher: ICDABI
Relation: https://eprints.unite.edu.mk/1183/
Identifier: oai:eprints.unite.edu.mk:1183
Identifier: https://eprints.unite.edu.mk/1183/1/2.19%20Published%20Paper.pdfIdentifier: Arbnora, Miftari and Shkurte, Luma-Osmani and Florim, Idrizi (2022) Analysis of cybercriminals and where they fall on the spectrum of crime. International Conference on Data Analytics for Business and Industry (ICDABI). pp. 287-291.
