It is finally concluded that from the viewpoint of application forensic analysis, the live, storage and registry analysis, all hold equal importance. The research considers all kinds of scenarios such as logged in users, logged out users and intentional data deletion etc. For experimentation purpose, LinkedIn’s desktop application has been targeted. A comprehensive novel methodology for manual forensic analysis of Windows App Store application on Windows 10 Operating System (OS) has also been proposed. The paper first provides a systematic literature review of the existing digital forensic analysis techniques and highlights their weaknesses. This study focuses on the forensic analysis of Windows AppStore applications with special focus on LinkedIn’s Desktop application since it is one of the most downloaded applications from Windows AppStore.

However, this has posed various threats to legitimate users in terms of sensitive data disclosure, if their device gets lost, compromised or stolen. The convenient and cheap access to mobile phones and laptops have significantly increased the use of interactive applications over the past couple of years.

Linkedin desktop app