Work

Suspicious Financial Activity in the Context of In-Game Asset Exchange Marketplace

Year: 2024

Type: article

Abstract: In this study, we investigated the expanding problem of suspicious activity when using online in-game asset trading platforms. The decentralized structures and anonymity offered by these platforms provide a basis for suspicious actions, creating a threat to the virtual economy. By evaluating 18,157 rows of anonymized transaction data from 38 unique sellers with the help of the interquartile range approach and network analysis, we were able to identify suspicious activities. The results highlight suspicious online activities of individual transactions. This research contributes by identifying new, concerning trends and unraveling complex networks by analyzing in-game asset transaction data. It also assists in informing experts and lawmakers about new suspicious activities.

Source: Journal of Cybersecurity and Privacy

DOI: 10.3390/jcp4040043

Authors: Emil Eminov, Stephen V. Flowerday

Institution: University of Tulsa

Language: English

Topic: Cybercrime and Law Enforcement Studies

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Peace, justice, and strong institutions

Open Access status: gold

Estimated APC paid: $1,137