Forensics analysis of FacePlay application to seek digital artifacts on data ownership and privacy

Abstract

Smartphones are indispensable items for more than 95% of young people today. And of course, intelligent applications on phones are also born more to meet the needs. Thanks to its unique ease of use and modern technology, the applications are beautiful to users. Nowadays, the term AI (Artificial Intelligence) is more and more popular and close to Android phone users thanks to the addition of AI to their functions. Big phone brands like Samsung, Huawei, or Google make significant machine learning improvements to their phone cameras. Especially with the application of filming and taking photos that can edit faces and create animations. Therefore, it has attracted countless users, especially selfie enthusiasts who have used their images to post apps to animate their pictures and videos. Android devices are now more popular; as of 2021, there are more than 3 billion active Android devices, three times more than IOS. Besides, there are applications related to editing, creating images, effects for users on Android. The use of personal photos by users for such applications may inadvertently cause the applications to violate privacy. Therefore, it is necessary to carry out forensic investigations of applications to detect access violations and theft of user privacy. This paper performs forensic analysis of the FacePlay app to analyze, evaluate, and warn users about FacePlay privacy issues.