Application permissions explained

Permissions are a means of controlling and regulating access to specific system- and device-level functions by software. Typically, types of permissions cover functions that may have privacy implications, such as the ability to access a device's hardware features (including the camera and microphone), and personal data (such as storage devices, contacts lists, and the user's present geographical location). Permissions are typically declared in an application's manifest, and certain permissions must be specifically granted at runtime by the user—who may revoke the permission at any time.

Permission systems are common on mobile operating systems, where permissions needed by specific apps must be disclosed via the platform's app store.

Mobile devices

On mobile operating systems for smartphones and tablets, typical types of permissions regulate:[1] [2]

Prior to Android 6.0 "Marshmallow", permissions were automatically granted to apps at runtime, and they were presented upon installation in Google Play Store. Since Marshmallow, certain permissions now require the app to request permission at runtime by the user. These permissions may also be revoked at any time via Android's settings menu.[3] Usage of permissions on Android are sometimes abused by app developers to gather personal information and deliver advertising; in particular, apps for using a phone's camera flash as a flashlight (which have grown largely redundant due to the integration of such functionality at the system level on later versions of Android) have been known to require a large array of unnecessary permissions beyond what is actually needed for the stated functionality.[4]

iOS imposes a similar requirement for permissions to be granted at runtime, with particular controls offered for enabling of Bluetooth, Wi-Fi, and location tracking.[5] [6]

WebPermissions

WebPermissions is a permission system for web browsers.[7] When a web application needs some data behind permission, it must request it first. When it does it, a user sees a window asking him to make a choice. The choice is remembered, but can be cleared lately.

Currently the following resources are controlled:

Analysis

The permission-based access control model assigns access privileges for certain data objects to application. This is a derivative of the discretionary access control model. The access permissions are usually granted in the context of a specific user on a specific device. Permissions are granted permanently with few automatic restrictions.

In some cases permissions are implemented in 'all-or-nothing' approach: a user either has to grant all the required permissions to access the application or the user can not access the application. There is still a lack of transparency when the permission is used by a program or application to access the data protected by the permission access control mechanism. Even if a user can revoke a permission, the app can blackmail a user by refusing to operate, for example by just crashing or asking user to grant the permission again in order to access the application.

The permission mechanism has been widely criticized by researchers for several reasons, including;

Some apps, such as XPrivacy and Mockdroid[18] spoof data in order to act as a measure for privacy. Further transparency methods include longitudinal behavioural profiling and multiple-source privacy analysis of app data access.[19] [20]

Notes and References

  1. Web site: Manifest.permission - Android Developers. developer.android.com.
  2. Web site: iOS Security Guide.
  3. Web site: Permission-greedy apps delayed Android 6 upgrade so they could harvest more user data. Cimpanu. Catalin. ZDNet. en. 2020-01-10.
  4. Web site: Most Android flashlight apps request an absurd number of permissions. Cimpanu. Catalin. ZDNet. en. 2020-01-10.
  5. Web site: Keep your location secret with iOS 13's new privacy features. Cipriani. Jason. CNET. en. 2019-08-08.
  6. Web site: Here's why so many apps are asking to use Bluetooth on iOS 13. Welch. Chris. 2019-09-19. The Verge. en. 2019-09-26.
  7. Web site: 2019-05-10. Permissions. w3c.github.io.
  8. Web site: Geolocation API Specification 2nd Edition. www.w3.org.
  9. Web site: Notifications API Standard. notifications.spec.whatwg.org.
  10. Web site: Push API. www.w3.org.
  11. Web site: Web Background Synchronization. wicg.github.io.
  12. Web site: Media Capture and Streams. w3c.github.io.
  13. Moen, Gro Mette, Ailo Krogh Ravna, and Finn Myrstad: Deceived by Design - How tech companies use dark patterns to discourage us from exercising our rights to privacy., 2018, Consumer council of Norway / Forbrukerrådet. Report. https://www.forbrukerradet.no/undersokelse/no-undersokelsekategori/deceived-by-design
  14. Fritsch. Lothar. Momen. Nurul. 2017. Derived Partial Identities Generated from App Permissions. Gesellschaft für Informatik. 117–130.
  15. Book: Kelley. Patrick Gage. Consolvo. Sunny. Cranor. Lorrie Faith. Jung. Jaeyeon. Sadeh. Norman. Wetherall. David. A Conundrum of Permissions: Installing Applications on an Android Smartphone . 2012. Blyth. Jim. Dietrich. Sven. Camp. L. Jean. Financial Cryptography and Data Security. 7398. Lecture Notes in Computer Science. en. Springer Berlin Heidelberg. 68–79. 10.1007/978-3-642-34638-5_6. 978-3-642-34638-5. 10.1.1.232.4261. 17861847 .
  16. Momen. N.. Hatamian. M.. Fritsch. L.. November 2019. Did App Privacy Improve After the GDPR?. IEEE Security Privacy. 17. 6. 10–20. 10.1109/MSEC.2019.2938445. 203699369. 1558-4046.
  17. Momen. Nurul. 2020. Measuring Apps' Privacy-Friendliness : Introducing transparency to apps' data access behavior.
  18. Book: Beresford. Alastair R.. Rice. Andrew. Skehin. Nicholas. Sohan. Ripduman. Proceedings of the 12th Workshop on Mobile Computing Systems and Applications . MockDroid . 2011. 49–54. New York, New York, USA. ACM Press. 10.1145/2184489.2184500. 978-1-4503-0649-2. 2166732.
  19. Momen. Nurul. 2018. Towards Measuring Apps' Privacy-Friendliness. Diva.
  20. Book: Hatamian. Majid. Momen. Nurul. Fritsch. Lothar. Rannenberg. Kai. A Multilateral Privacy Impact Analysis Method for Android Apps . 2019. Naldi. Maurizio. Italiano. Giuseppe F.. Rannenberg. Kai. Medina. Manel. Bourka. Athena. Privacy Technologies and Policy. 11498. Lecture Notes in Computer Science. en. Springer International Publishing. 87–106. 10.1007/978-3-030-21752-5_7. 978-3-030-21752-5. 184483219 . https://zenodo.org/record/3248889.