Network Forensics of WhatsApp: A Practical Approach Based on Side-Channel Analysis

Author:

De Luca Fiscone Gianluca,Pizzolante Raffaele,Castiglione Arcangelo,Palmieri Francesco

Publisher

Springer International Publishing

Reference21 articles.

1. How voice and video call works? https://blog.mindorks.com/how-voice-and-video-call-works-b0896aa0a630

2. Ranked: The world’s most downloaded apps - visual capitalist. https://www.visualcapitalist.com/ranked-most-downloaded-apps/

3. Statistics on cyber-terrorism. http://csciwww.etsu.edu/gotterbarn/stdntppr/stats.htm

4. Wireshark. https://www.wireshark.org/

5. Cyberbullying facts and statistics for 2016–2019 (2019). https://www.comparitech.com/internet-providers/cyberbullying-statistics

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1. Depicting Instant Messaging Encrypted Traffic Characteristics through an Empirical Study;2023 32nd International Conference on Computer Communications and Networks (ICCCN);2023-07

2. Share and Multiply: Modeling Communication and Generated Traffic in Private WhatsApp Groups;IEEE Access;2023

3. Traffic Characterization of Instant Messaging Apps: A Campus-Level View;2020 IEEE 45th Conference on Local Computer Networks (LCN);2020-11-16

4. A machine learning‐based memory forensics methodology for TOR browser artifacts;Concurrency and Computation: Practice and Experience;2020-07-21

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