Digital Evidence

2012 ◽  
pp. 485-494
Keyword(s):  
Digital Evidence

Forensic Analysis of Artifacts of Giant Instant Messaging “WhatsApp” in Android Smartphone

2018 ◽  
Vol 5 (2) ◽  
pp. 73-83
Author(s):  
Hussein Abed Ghannam
Keyword(s):  
Instant Messaging ◽  
Smart Phone ◽  
Forensic Analysis ◽  
Digital Evidence ◽  
Terror Attack ◽  
Left Behind ◽  
Digital Crime ◽  
Internal Storage ◽  
Network Forensic ◽  
Electronic Crime

WhatsApp is a giant mobile instant message IM application with over 1billion users. The huge usage of IM like WhatsApp through giant smart phone “Android” makes the digital forensic researchers to study deeply. The artefacts left behind in the smartphone play very important role in any electronic crime, or any terror attack. “WhatsApp” as a biggest IM in the globe is considered to be very important resource for information gathering about any digital crime. Recently, end-to-end encryption and many other important features were added and no device forensic analysis or network forensic analysis studies have been performed to the time of writing this paper. This paper explains how can we able to extract the Crypt Key of “WhatsApp” to decrypt the databases and extract precious artefacts resides in the android system without rooting the device. Artefacts that extracted from the last version of WhatsApp have been analysed and correlate to give new valuable evidentiary traces that help in investigating. Many hardware and software tools for mobile and forensics are used to collect as much digital evidence as possible from persistent storage on android device. Some of these tools are commercial like UFED Cellebrite and Andriller, and other are open source tools such as autopsy, adb, WhatCrypt. All of these tools that forensically sound accompanied this research to discover a lot of artefacts resides in android internal storage in WhatsApp application.

Digital Chain of Custody

2017 ◽  
Vol 7 (7) ◽  
pp. 117
Author(s):  
Matthew N.O. Sadiku ◽  
Adebowale E. Shadare ◽  
Sarhan M. Musa
Keyword(s):  
Digital Evidence ◽  
Chain Of Custody ◽  
Digital Investigation ◽  
A Chain ◽  
Admissible Evidence ◽  
Investigation Process

Digital chain of custody is the record of preservation of digital evidence from collection to presentation in the court of law. This is an essential part of digital investigation process.  Its key objective is to ensure that the digital evidence presented to the court remains as originally collected, without tampering. The chain of custody is important for admissible evidence in court. Without a chain of custody, the opposing attorney can challenge or dismiss the evidence presented. The aim of this paper is to provide a brief introduction to the concept of digital chain custody.

A Novel Approach for Digital Evidence Management Using Blockchain

2020 ◽  
Author(s):  
Sagar Rao ◽  
Shalomi Fernandes ◽  
Samruddhi Raorane ◽  
Shafaque Syed
Keyword(s):  
Digital Evidence ◽  
Novel Approach

LEGAL Proposal for Digital Evidence Seizure and Admissibility in KOREA

J-Institute ◽  
2017 ◽  
Vol 2 (1) ◽  
pp. 7-12
Author(s):  
Burmshik Kim ◽  
Keyword(s):  
Digital Evidence

Forensic Data Extraction and Analysis of Left Artifacts on emulated Android Phones: A Case Study of Instant Messaging Applications

2017 ◽  
Vol 2 (11) ◽  
pp. 8-16
Author(s):  
Moses Ashawa ◽  
Innocent Ogwuche
Keyword(s):  
Mobile Phones ◽  
Instant Messaging ◽  
Data Extraction ◽  
Digital Evidence ◽  
Cyber Attack ◽  
Forensic Evidence ◽  
Digital Forensic ◽  
Proportional Increase ◽  
Forensic Tools

The fast-growing nature of instant messaging applications usage on Android mobile devices brought about a proportional increase on the number of cyber-attack vectors that could be perpetrated on them. Android mobile phones store significant amount of information in the various memory partitions when Instant Messaging (IM) applications (WhatsApp, Skype, and Facebook) are executed on them. As a result of the enormous crimes committed using instant messaging applications, and the amount of electronic based traces of evidence that can be retrieved from the suspect’s device where an investigation could convict or refute a person in the court of law and as such, mobile phones have become a vulnerable ground for digital evidence mining. This paper aims at using forensic tools to extract and analyse left artefacts digital evidence from IM applications on Android phones using android studio as the virtual machine. Digital forensic investigation methodology by Bill Nelson was applied during this research. Some of the key results obtained showed how digital forensic evidence such as call logs, contacts numbers, sent/retrieved messages, and images can be mined from simulated android phones when running these applications. These artefacts can be used in the court of law as evidence during cybercrime investigation.

scholarly journals A Comparative UAV Forensic Analysis: Static and Live Digital Evidence Traceability Challenges

Drones ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 42
Author(s):  
Fahad E. Salamh ◽  
Umit Karabiyik ◽  
Marcus K. Rogers ◽  
Eric T. Matson
Keyword(s):  
High Volume ◽  
Forensic Analysis ◽  
Digital Evidence ◽  
Incident Response ◽  
Scientific Contribution ◽  
Response Plan ◽  
Technical Challenges ◽  
And Control ◽  
The Impact ◽  
Categorization Model

The raising accessibility of Unmanned Aerial Vehicles (UAVs), colloquially known as drones, is rapidly increasing. Recent studies have discussed challenges that may come in tow with the growing use of this technology. These studies note that in-depth examination is required, especially when addressing challenges that carry a high volume of software data between sensors, actuators, and control commands. This work underlines static and live digital evidence traceability challenges to further enhance the UAV incident response plan. To study the live UAV forensic traceability issues, we apply the `purple-teaming’ exercise on small UAVs while conducting UAV forensic examination to determine technical challenges related to data integrity and repeatability. In addition, this research highlights current static technical challenges that could pose more challenges in justifying the discovered digital evidence. Additionally, this study discusses potential drone anti-forensic techniques and their association with the type of use, environment, attack vector, and level of expertise. To this end, we propose the UAV Kill Chain and categorize the impact and complexity of all highlighted challenges based on the conducted examination and the presented scientific contribution in this work. To the best of our knowledge, there has not been any contribution that incorporates `Purple-Teaming’ tactics to evaluate UAV-related research in cybersecurity and digital forensics. This work also proposes a categorization model that classifies the discovered UAV static and live digital evidence challenges based on their complexity and impact levels

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