A framework for digital forensics of encrypted real-time network traffic, instant messaging, and VoIP application case study

Author:

Abd Elmonsef Sarhan Soliman,Youness Hassan A.,Bahaa-Eldin Ayman M.

Publisher

Elsevier BV

Subject

General Engineering

Reference33 articles.

1. A deception model robust to eavesdropping over communication for social network systems;Omolara;IEEE Access,2019

2. Staff Writers. Instant messaging users to reach 4.3 billion in 2020: juniper research. Available online: https://which-50.com/instant-messaging-users-to-reach-4-3-billion-in-2020-juniper-research/.

3. Enberg. Global mobile messaging 2020. Available online: https://www.emarketer.com/content/global-mobile-messaging-2020.

4. https://www.statista.com/statistics/258749/most-popular-global-mobile-messenger-apps/.

5. Formal knowledge model for online social network forensics;Arshada;Comput Secur,2019

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1. Techniques and methods for obtaining access to data protected by linux-based encryption – A reference guide for practitioners;Forensic Science International: Digital Investigation;2024-03

2. VoIP Network Forensics of Instant Messaging Calls;IEEE Access;2024

3. Forensic Analysis of Social Media Android Apps via Timelines;Lecture Notes in Networks and Systems;2024

4. Fingerprinting: Tiktok Analysis of Network Traffic Using Data Capture Tools;2023 IEEE International Conference on Engineering Veracruz (ICEV);2023-10-23

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