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Syst."],"published-print":{"date-parts":[[2019,11,30]]},"abstract":"<jats:p>Indoor localization is an emerging application domain for the navigation and tracking of people and assets. Ubiquitously available Wi-Fi signals have enabled low-cost fingerprinting-based localization solutions. Further, the rapid growth in mobile hardware capability now allows high-accuracy deep learning--based frameworks to be executed locally on mobile devices in an energy-efficient manner. However, existing deep learning--based indoor localization solutions are vulnerable to access point (AP) attacks. This article presents an analysis into the vulnerability of a convolutional neural network--based indoor localization solution to AP security compromises. Based on this analysis, we propose a novel methodology to maintain indoor localization accuracy, even in the presence of AP attacks. The proposed secured neural network framework (S-CNNLOC) is validated across a benchmark suite of paths and is found to deliver up to 10\u00d7 more resiliency to malicious AP attacks compared to its unsecured counterpart.<\/jats:p>","DOI":"10.1145\/3362036","type":"journal-article","created":{"date-parts":[[2019,11,15]],"date-time":"2019-11-15T21:16:57Z","timestamp":1573852617000},"page":"1-24","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":27,"title":["Overcoming Security Vulnerabilities in Deep Learning--based Indoor Localization Frameworks on Mobile Devices"],"prefix":"10.1145","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4017-1392","authenticated-orcid":false,"given":"Saideep","family":"Tiku","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, Colorado, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sudeep","family":"Pasricha","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, Colorado, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2019,11,15]]},"reference":[{"key":"e_1_2_1_1_1","unstructured":"The Plane Crash That Gave Americans GPS. 2019. 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