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Particularly, the position of mobile devices is crucial to estimating the performance in the mobile communication setting. With its importance, this paper investigates mobile communication performance based on the coordinate information of mobile devices. We analyze a recent 5G data collection and examine the feasibility of location-based performance prediction. As location information is key to performance prediction, the basic assumption of making a relevant prediction is the correctness of the coordinate information of devices given. With its criticality, this paper also investigates the impact of position falsification on the ML-based performance predictor, which reveals the significant degradation of the prediction performance under such attacks, suggesting the need for effective defense mechanisms against location spoofing threats.<\/jats:p>","DOI":"10.1007\/978-3-031-24049-2_7","type":"book-chapter","created":{"date-parts":[[2023,1,18]],"date-time":"2023-01-18T16:02:56Z","timestamp":1674057776000},"page":"107-119","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Impact of\u00a0Location Spoofing Attacks on\u00a0Performance Prediction in\u00a0Mobile Networks"],"prefix":"10.1007","author":[{"given":"Nikhil Sai","family":"Kanuri","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sang-Yoon","family":"Chang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Younghee","family":"Park","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jonghyun","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9835-1866","authenticated-orcid":false,"given":"Jinoh","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,1,19]]},"reference":[{"key":"7_CR1","doi-asserted-by":"crossref","unstructured":"Elsayed, M.A., Zincir-Heywood, N.: BoostGuard: interpretable misbehavior detection in vehicular communication networks. 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