A Privacy-aware Platform for Sharing Personal Information on Wearable Devices

Ghazinour, Kambiz; Delp, Wesley; Gross, Jimmy; Moghadam, Ali Taheri; Strawbridge, Timothy; Tobin, Jake

doi:10.1016/j.procs.2016.09.033

Cited by 2 publications

(3 citation statements)

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“…Program code 3: "Find same apps on both platforms" procedure We ended up with a population of 636 apps with privacy policies in English from the aforementioned five categories (please note in the iOS group there are 2 apps more than in Android due to Pro and Lite versions of two apps that were available for the iOS but not for the Android). for android in android_podatki: if len(str(ios [1]). lower()) < len(str(android [1]).…”

Section: Program Code 2: Acquisition Of Url Links To Privacy Policiesmentioning

confidence: 99%

“…for android in android_podatki: if len(str(ios [1]). lower()) < len(str(android [1]). lower()): if (str(android [1]).…”

Section: Program Code 2: Acquisition Of Url Links To Privacy Policiesmentioning

confidence: 99%

“…However, the users are generally unaware of what types of data and permissions they provide to mobile app developers and platform owners. Application developers, especially those using the "free" business model, finance their development by selling the acquired data [1][2][3]. This can violate human rights (the right to privacy) if users are unaware of it or it is being done without their explicit consent.…”

Section: Introductionmentioning

confidence: 99%

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Permissions vs. Privacy Policies of Apps in Google Play Store and Apple App Store

Brumen

Zajc

Bošnjak

2023

Frontiers in Artificial Intelligence and Applications

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The “free” business model prevails in mobile apps available through the major channels, hinting at the possibility that users “pay” for the use of the mobile apps by sharing their private data with the developers and platform providers. Several types of personal data and permissions of mobile applications were analyzed. We examined 636 apps in several categories, such as medical, health & fitness, business, finance, and entertainment. The types of personal data being requested by the apps were collected from their privacy policies and the list of permissions was scraped from the platform’s store. We implemented a privacy policy word processing algorithm, the purpose of which was to gain a better insight into the types of data collected. Using the algorithm results, we also performed statistical analyses, based on which we found, expectedly, that free mobile applications collect more data than paid ones. However, there are discrepancies between the permissions we obtained from the privacy policy texts and those stated on the Google Play and Apple App Store websites. More permission requirements emerged from the privacy policy texts than were shown on corresponding app stores, which is a worrying result.

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Section: Program Code 2: Acquisition Of Url Links To Privacy Policiesmentioning

confidence: 99%

“…for android in android_podatki: if len(str(ios [1]). lower()) < len(str(android [1]). lower()): if (str(android [1]).…”

Section: Program Code 2: Acquisition Of Url Links To Privacy Policiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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