From Ad Identifiers to Global Privacy Control: The Status Quo and Future of Opting Out of Ad Tracking on Android
- URL: http://arxiv.org/abs/2407.14938v1
- Date: Sat, 20 Jul 2024 17:06:23 GMT
- Title: From Ad Identifiers to Global Privacy Control: The Status Quo and Future of Opting Out of Ad Tracking on Android
- Authors: Sebastian Zimmeck, Nishant Aggarwal, Zachary Liu, Konrad Kollnig,
- Abstract summary: Since 2013, Google has allowed users to limit ad tracking on Android via system settings.
Apps must honor opt-outs from ad tracking under the Global Privacy Control (GPC)
Our analysis shows that both the Android system-level opt-out and the GPC signal rarely restrict ad tracking.
- Score: 2.8436446946726557
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Apps and their integrated third party libraries often collect a variety of data from people to show them personalized ads. This practice is often privacy-invasive. Since 2013, Google has therefore allowed users to limit ad tracking on Android via system settings. Further, under the 2018 California Consumer Privacy Act (CCPA), apps must honor opt-outs from ad tracking under the Global Privacy Control (GPC). The efficacy of these two methods to limit ad tracking has not been studied in prior work. Our legal and technical analysis details how the GPC applies to mobile apps and how it could be integrated directly into Android, thereby developing a reference design for GPC on Android. Our empirical analysis of 1,896 top-ranked Android apps shows that both the Android system-level opt-out and the GPC signal rarely restrict ad tracking. In our view, deleting the AdID and opting out under the CCPA has the same meaning. Thus, the current AdID setting and APIs should be evolved towards GPC and integrated into Android's Privacy Sandbox.
Related papers
- Long-Term Ad Memorability: Understanding & Generating Memorable Ads [54.23854539909078]
There has been no large-scale study on the memorability of ads.
We release the first memorability dataset, LAMBDA, consisting of 1749 participants and 2205 ads covering 276 brands.
arXiv Detail & Related papers (2023-09-01T10:27:04Z) - Is It a Trap? A Large-scale Empirical Study And Comprehensive Assessment
of Online Automated Privacy Policy Generators for Mobile Apps [15.181098379077344]
Automated Privacy Policy Generators can create privacy policies for mobile apps.
Nearly 20.1% of privacy policies could be generated by existing APPGs.
App developers must carefully select and use the appropriate APPGs to avoid potential pitfalls.
arXiv Detail & Related papers (2023-05-05T04:08:18Z) - Goodbye Tracking? Impact of iOS App Tracking Transparency and Privacy
Labels [25.30364629335751]
Apple introduced two significant changes with iOS 14: App Tracking Transparency (ATT), a mandatory opt-in system for enabling tracking on iOS, and Privacy Nutrition Labels.
This paper addresses the impact of these changes on individual privacy and control by analysing two versions of 1,759 iOS apps from the UK App Store.
We find that Apple itself engages in some forms of tracking and exempts invasive data practices like first-party tracking and credit scoring.
arXiv Detail & Related papers (2022-04-07T16:32:58Z) - SPAct: Self-supervised Privacy Preservation for Action Recognition [73.79886509500409]
Existing approaches for mitigating privacy leakage in action recognition require privacy labels along with the action labels from the video dataset.
Recent developments of self-supervised learning (SSL) have unleashed the untapped potential of the unlabeled data.
We present a novel training framework which removes privacy information from input video in a self-supervised manner without requiring privacy labels.
arXiv Detail & Related papers (2022-03-29T02:56:40Z) - AirGuard -- Protecting Android Users From Stalking Attacks By Apple Find
My Devices [78.08346367878578]
We reverse engineer Apple's tracking protection in iOS and discuss its features regarding stalking detection.
We design "AirGuard" and release it as an Android app to protect against abuse by Apple tracking devices.
arXiv Detail & Related papers (2022-02-23T22:31:28Z) - Analysis of Longitudinal Changes in Privacy Behavior of Android
Applications [79.71330613821037]
In this paper, we examine the trends in how Android apps have changed over time with respect to privacy.
We examine the adoption of HTTPS, whether apps scan the device for other installed apps, the use of permissions for privacy-sensitive data, and the use of unique identifiers.
We find that privacy-related behavior has improved with time as apps continue to receive updates, and that the third-party libraries used by apps are responsible for more issues with privacy.
arXiv Detail & Related papers (2021-12-28T16:21:31Z) - Before and after GDPR: tracking in mobile apps [34.15669578579838]
Thirdparty tracking, sharing of data about individuals is significant and ubiquitous in mobile apps.
Thirdparty tracking in nearly two million Android apps from before and after introduction of EU General Data Protection Regulation.
concentration of behavioural tracking capabilities among few large gatekeeper companies persists.
arXiv Detail & Related papers (2021-12-21T11:45:01Z) - Are iPhones Really Better for Privacy? Comparative Study of iOS and
Android Apps [25.30364629335751]
We present a study of 24k Android and iOS apps from 2020 along several dimensions relating to user privacy.
Third-party tracking and the sharing of unique user identifiers was widespread in apps from both ecosystems, even in apps aimed at children.
Across all studied apps, our study highlights widespread potential violations of US, EU and UK privacy law.
arXiv Detail & Related papers (2021-09-28T13:40:32Z) - An Empirical Study of In-App Advertising Issues Based on Large Scale App
Review Analysis [67.58267006314415]
We present a large-scale analysis on ad-related user feedback from App Store and Google Play.
From a statistical analysis of 36,309 ad-related reviews, we find that users care most about the number of unique ads and ad display frequency during usage.
Some ad issue types are addressed more quickly by developers than other ad issues.
arXiv Detail & Related papers (2020-08-22T05:38:24Z) - Mind the GAP: Security & Privacy Risks of Contact Tracing Apps [75.7995398006171]
Google and Apple have jointly provided an API for exposure notification in order to implement decentralized contract tracing apps using Bluetooth Low Energy.
We demonstrate that in real-world scenarios the GAP design is vulnerable to (i) profiling and possibly de-anonymizing persons, and (ii) relay-based wormhole attacks that basically can generate fake contacts.
arXiv Detail & Related papers (2020-06-10T16:05:05Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.