Literature DB >> 26982207

Windows Instant Messaging App Forensics: Facebook and Skype as Case Studies.

Teing Yee Yang1, Ali Dehghantanha2, Kim-Kwang Raymond Choo3, Zaiton Muda1.   

Abstract

Instant messaging (IM) has changed the way people communicate with each other. However, the interactive and instant nature of these applications (apps) made them an attractive choice for malicious cyber activities such as phishing. The forensic examination of IM apps for modern Windows 8.1 (or later) has been largely unexplored, as the platform is relatively new. In this paper, we seek to determine the data remnants from the use of two popular Windows Store application software for instant messaging, namely Facebook and Skype on a Windows 8.1 client machine. This research contributes to an in-depth understanding of the types of terrestrial artefacts that are likely to remain after the use of instant messaging services and application software on a contemporary Windows operating system. Potential artefacts detected during the research include data relating to the installation or uninstallation of the instant messaging application software, log-in and log-off information, contact lists, conversations, and transferred files.

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Mesh:

Year:  2016        PMID: 26982207      PMCID: PMC4794233          DOI: 10.1371/journal.pone.0150300

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  1 in total

1.  A Forensically Sound Adversary Model for Mobile Devices.

Authors:  Quang Do; Ben Martini; Kim-Kwang Raymond Choo
Journal:  PLoS One       Date:  2015-09-22       Impact factor: 3.240

  1 in total
  3 in total

1.  Forensic investigation of Cisco WebEx desktop client, web, and Android smartphone applications.

Authors:  Zainab Khalid; Farkhund Iqbal; Faouzi Kamoun; Liaqat Ali Khan; Babar Shah
Journal:  Ann Telecommun       Date:  2022-08-12       Impact factor: 1.901

2.  Development and validation of a Database Forensic Metamodel (DBFM).

Authors:  Arafat Al-Dhaqm; Shukor Razak; Siti Hajar Othman; Asri Ngadi; Mohammed Nazir Ahmed; Abdulalem Ali Mohammed
Journal:  PLoS One       Date:  2017-02-01       Impact factor: 3.240

3.  A metamodel for mobile forensics investigation domain.

Authors:  Abdulalem Ali; Shukor Abd Razak; Siti Hajar Othman; Arafat Mohammed; Faisal Saeed
Journal:  PLoS One       Date:  2017-04-26       Impact factor: 3.240

  3 in total

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