Forensic Analysis on Kindle and Android

Saxena, Archit; Walker, James S.; Kulkarni, Vedant

doi:10.1007/978-3-030-23547-5_9

Cited by 1 publication

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For this reason, there are many scientific studies that show how to examine applications that are widely used but cannot be examined by commercial software. Saxena et al have shown how the Amazon kindle application should be examined on android devices [7]. Kim et al Have shown what remains of the Android applications left in the cache and how they should be analyzed [8].…”

Section: Introductionmentioning

confidence: 99%

Digital Forensic Analysis of Wallapop Application on Android Operating System

İPEK

Akbal

2022

Bitlis Eren Üniversitesi Fen Bilimleri Dergisi

View full text Add to dashboard Cite

The use of second-hand shopping applications is increasing day by day. Applications can be used for product search, product sale / purchase, product search / search, specific filtering for the searched product, product selection by category, saving searched products, product listing and messaging with people. There may be situations that may create legal problems between users in shopping applications. Defamation, fraud, fraudulent products, sale of prohibited substances are carried to judicial authorities. Wallapop app is a second-hand sales app with more than 10 million downloads on google play store. Application were examined by XRY, Praben, Oxygen, Axiom, Ufed and Autopsy Forensic examination programs and no characteristic information about the application could be obtained. In the study, manual forensic analysis of Wallapop application on mobile devices with Android operating system was performed and an examination method was proposed. In the study, manual forensic analysis of Wallapop application on mobile devices with Android operating system is performed and a methodology about the artifacts produced by Wallapop application, their analysis and the relations with each other is presented. The contents of the database files, location information, session information and other data that may be considered as evidence are shown.

show abstract

Section: Introductionmentioning

confidence: 99%