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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
Whatsapp Network Forensics: Decrypting And Understanding The Whatsapp Call Signaling Messages, Filip Karpisek, Ibrahim Baggili, Frank Breitinger
Whatsapp Network Forensics: Decrypting And Understanding The Whatsapp Call Signaling Messages, Filip Karpisek, Ibrahim Baggili, Frank Breitinger
Electrical & Computer Engineering and Computer Science Faculty Publications
WhatsApp is a widely adopted mobile messaging application with over 800 million users. Recently, a calling feature was added to the application and no comprehensive digital forensic analysis has been performed with regards to this feature at the time of writing this paper. In this work, we describe how we were able to decrypt the network traffic and obtain forensic artifacts that relate to this new calling feature which included the: a) WhatsApp phone numbers, b) WhatsApp server IPs, c) WhatsApp audio codec (Opus), d) WhatsApp call duration, and e) WhatsApp's call termination. We explain the methods and tools used …
The Challenges Of Seizing And Searching The Contents Of Wi-Fi Devices For The Modern Investigator, Dan Blackman, Patryk Szewczyk
The Challenges Of Seizing And Searching The Contents Of Wi-Fi Devices For The Modern Investigator, Dan Blackman, Patryk Szewczyk
Australian Digital Forensics Conference
To the modern law enforcement investigator, the potential for an offender to have a mobile device on his or her person, who connects to a Wi-Fi network, may afford evidence to place them at a scene, at a particular time. Whilst tools to interrogate mobile devices and Wi-Fi networks, have undergone significant development, little research has been conducted with regards to interrogating Wi-Fi routers and the evidence they may contain. This paper demonstrates that multiple inhibiting factors exist for forensic investigators when attempting to extract data from Wi-Fi routers at the scene. Data volatility means the Wi-Fi router cannot be …
An Empirical Comparison Of Widely Adopted Hash Functions In Digital Forensics: Does The Programming Language And Operating System Make A Difference?, Satyendra Gurjar, Ibrahim Baggili, Frank Breitinger, Alice E. Fischer
An Empirical Comparison Of Widely Adopted Hash Functions In Digital Forensics: Does The Programming Language And Operating System Make A Difference?, Satyendra Gurjar, Ibrahim Baggili, Frank Breitinger, Alice E. Fischer
Electrical & Computer Engineering and Computer Science Faculty Publications
Hash functions are widespread in computer sciences and have a wide range of applications such as ensuring integrity in cryptographic protocols, structuring database entries (hash tables) or identifying known files in forensic investigations. Besides their cryptographic requirements, a fundamental property of hash functions is efficient and easy computation which is especially important in digital forensics due to the large amount of data that needs to be processed when working on cases. In this paper, we correlate the runtime efficiency of common hashing algorithms (MD5, SHA-family) and their implementation. Our empirical comparison focuses on C-OpenSSL, Python, Ruby, Java on Windows and …