Paper Info
Title
Forensic artifacts modeling for social media client applications to enhance investigatory learning mechanisms.
Abstract
Social media have emerged as an inexpensive and efficient way of communication during the past few years. Facebook is leading the global social networking that provides multiple channels for sharing information with the community. There are various ways to access a Facebook account such as through a web browser, mobile applications and third-party desktop applications for Facebook. Platforms like desktop applications for social media are of benefit to users as they provide ease of access and availability, but in the case of a user's data privacy breach including illegitimate social behavior, it becomes a challenge for the forensic examiners to track such activities for learning purposes. The aim of digital forensics is to get hold of the existing legal evidence present within the digital media. The major focus of this research is to investigate and analyze the two Facebook desktop applications: Fosimo and Sobees, with respect to the tracking of the user activities. The Facebook desktop applications are examined by analyzing the Windows registry, browser, cookie, cache, connection analysis and the local installation directory. As a result of this research, we ensure that the footprint gathering of the user activity from Windows registry and browser files is performed in such a way that it could be used for forensic artifacts modeling keeping the integrity of the whole process.
Year
DOI
Venue
2016
10.3233/JIFS-169105
Journal of Intelligent and Fuzzy Systems
Keywords
Field
DocType
CONTACT IDENTIFICATION
Data science,World Wide Web,Social media,Computer science
Journal
Volume
Issue
ISSN
31
5
1064-1246
Citations 
PageRank 
References 
1
0.35
15
Authors
7
Name
Order
Citations
PageRank
Haider Abbas1252.92
Muhammad Yasin221317.99
Fahad Ahmed310.35
Anam Sajid4472.50
Farrukh Aslam Khan538834.17
Rana Aamir Raza Ashfaq610.35
Nur Al Hasan Haldar7395.20