Gotta Assess 'Em All: A Risk Analysis of Criminal Offenses Facilitated through PokemonGO

Autor: Fuller, Ashly, Lo, Martin, Holmes, Angelica, Lemanski, Lu, Vasek, Marie, Mariconti, Enrico
Rok vydání: 2023
Předmět:
DOI: 10.48550/arxiv.2304.02952
Popis: Location-based games have come to the forefront of popularity in casual and mobile gaming over the past six years. However, there is no hard data on crimes that these games enable, ranging from assault to cyberstalking to grooming. Given these potential harms, we conduct a risk assessment and quasi-experiment on the game features of location-based games. Using PokemonGO as a case study, we identify and establish cyber-enabled stalking as the main risk event where in-game features such as an innocent function to share in-game postcards can be exploited by malicious users. Users obtain postcards that are unique to each Pokestop and represent gifts that can be shared with in-game friends. The number of postcards that each user can retain is limited, so they send the excess to their friends with items that boost their friends' game activities. The postcard often also unintentionally leaks the users' commonly visited locations to their in-game friends. We analyze these in-game features using risk assessment and identify cyber-enabled stalking as one of the main threats. We further evaluate the feasibility of this crime through a quasi-experiment. Our results show that participants' routine locations such as home and work can be reliably re-identified within days from the first gift exchange. This exploitation of a previously unconsidered in-game feature enables physical stalking of previously unknown persons which can escalate into more serious crimes. Given current data protection legislation in Europe, further preventive measures are required by Niantic to protect pseudonymized users from being re-identified by in-game features and (potentially) stalked.
Comment: 27 pages, Version under submission
Databáze: OpenAIRE
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