The protocol consists of a Double Ratchet algorithm, XEdDSA, and VXEdDSA, X3DH, and Sesame. Recently, well-known IM apps, such as WhatsApp, Facebook Messenger, and Skype (in private conversation mode) employed the Signal Protocol to achieve secrecy and privacy. Signal application encrypts all the messages using the Signal Protocol that is based on secure cryptographic algorithms. Each conversation has a safety number that can be verified among the communicating parties. It consists of common features such as audio calls, video calls, voice messages, text, media messages, stickers, typing indicators, and many more. The motivation behind choosing the Signal app is that it is a popular cross-platform encrypted messaging service developed by the Signal Foundation (previously known as Open Whisper Systems) powered by the open-source Signal Protocol (2013) and is available for android, IOS, and desktop. However, there is still room to explore the characteristics of encrypted IM app-based packets to identify the apps’ or user’s behavior and employed clients’ and servers’ IPs to support forensic investigation. Moreover, these can also identify the basic user’s or app’s behavior, i.e., calling, texting, etc. In literature, there are limited encrypted network forensics strategies proposed, especially on an IM-based app that can be used to find some important events such as connection establishment, an encryption protocol, and payload sizes for analysis. This becomes a challenge for the forensic investigator while identifying the behaviors of apps’ or user’s data from encrypted traffic. However, the provision of end-to-end encryption protects the data during transmission. Thus, encrypted network traffic analysis uncovers the network-related artifacts which can be beneficial to the forensic investigator and are shown great interest. In other words, a major concern is tracing communications through the network (live/backup) packets, i.e., to identify the traces of the apps’ or users’ behavior, data breaches, and other illicit activities. On the other hand, network forensics is a type of forensic analysis where the reconstruction of events is performed after an incident or cybercrime. As a result, the proposed strategy significantly facilitates extraction of the app’s behavior from encrypted network traffic which can then be used as supportive evidence for forensic investigation. Furthermore, a detailed analysis of the trace files can help to create a list of chat servers and IP addresses of involved parties in the events. By adopting the proposed strategy, the forensic investigator can easily detect encrypted traffic activities such as chatting, media messages, audio, and video calls by looking at the payload patterns. The analysis of the installed app was conducted over fully encrypted network traffic.
#Wechat windows version syn android#
This study aims to provide a network forensic strategy to identify the potential artifacts from the encrypted network traffic of the prominent social messenger app Signal (on Android version 9). During an investigation, the provision of end-to-end encryption in apps increases the complexity for digital forensics investigators. Ill-intentioned individuals and groups use these security services to their advantage by using the apps for criminal, illicit, or fraudulent activities. Apps with security provisions are able to provide confidentiality through end-to-end encryption. Instant messaging applications (apps) have played a vital role in online interaction, especially under COVID-19 lockdown protocols.
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