2018
DOI: 10.1080/00330124.2018.1479973
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Rethinking Spatial Data Quality: Pokémon Go as a Case Study of Location Spoofing

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Cited by 15 publications
(7 citation statements)
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“…At the moment BSMD cannot be used to prevent malicious node from selling spoof location data. Detection of spoof GPS location data is still an open problem and may require invading the privacy of users [58]. For instance, [57] proposed digging into the social media of users and to detect the probability that the user is in a certain location.…”
Section: Challengesmentioning
confidence: 99%
“…At the moment BSMD cannot be used to prevent malicious node from selling spoof location data. Detection of spoof GPS location data is still an open problem and may require invading the privacy of users [58]. For instance, [57] proposed digging into the social media of users and to detect the probability that the user is in a certain location.…”
Section: Challengesmentioning
confidence: 99%
“…For smartphones, the spoofing mechanism can be divided into three steps, (1) blocking the positioning service of a smartphone to acquire the actual locational information, (2) generating inconsistent locational information, and (3) transmitting it to an operating LBSM app (e.g., Twitter, Facebook, Pokémon Go, etc.) on a smartphone (Zhao and Zhang 2018). As a result, the LBSM app mistakes the fake location as where the operating smartphone really is.…”
Section: Location Spoofingmentioning
confidence: 99%
“…Spoofing is stigmatized in the United States and Europe, banned from groups, and usually not an open practice (Paavilainen et al, 2017; Zhao and Zhang, 2019). The practice, however, is mostly accepted both in Kenya and in Brazil.…”
Section: Dealing With Risks In Location-based Urban Playmentioning
confidence: 99%