fitbit application analysis

Application Analysis Introduction

Introduction This semester, the Application Analysis team chose four Windows applications to perform a forensic analysis on – Spotify, Bitcoin Miner, Speedtest, and Dashlane. In the coming weeks, we will examine the artifacts generated by these applications. Analysis: Web App Security We will inspect the applications’ security features. Without proper security features, hackers can access data […]

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Exploration Forensics Blog 1

Introduction This semester, the exploration forensics team is conducting research on hardware and software that tests for paranormal activity. We will test the devices and corresponding applications to discover if they gather readings and interact with a user’s data. The team will gather evidence on how the devices and applications operate. We will test how […]

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Parent IoT Security Devices Update 1

Introduction The Parent IoT Security team is researching different IoT devices used on home networks. An IoT (Internet of Things) device connects to a home network or other devices and transmits data to the internet. Each member of the group will be researching and testing individual IoT devices. As a group, we are looking to […]

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Mobile Device Forensics

Mobile Device Forensics Update 1

Introduction Applications are the backbone of every modern mobile operating system. With millions of applications available, it has become difficult to guarantee the security of user data on mobile phones. This project aims to find and document artifacts left by popular mobile apps. Our analysis will cover the three leading mobile operating systems: Android, iOS, […]

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Windows Fall Creator Title

Windows Fall Creator Introduction

Pick Up Where I Left Off: Windows Innovative New Feature Coming Soon? This spring, the Windows Fall Creator team will research a new Microsoft feature coming out over the next few months. The Windows Fall Creator/Redstone 4 update will provide users with the ability to continue right where they left off on other devices, as […]

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bluetooth tracking

Bluetooth Tracking Reboot

New Team, New Goals, Same Tools Frequent readers of this blog may remember last semester’s Bluetooth Tracking Project. It focused on developing methods to trilaterate the position of a Bluetooth device based off signal strength. This semester, the goal has shifted. Our team will build and implement a network of stand-alone Bluetooth monitoring devices. We […]

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fitbit application analysis

Application Analysis Update 3

Introduction The final phase for the Application Analysis team was analyzing the rest of the Fitbit artifacts. Fitbit generated a very large amount of data. As a result, it took much longer to analyze the VMDK. This means that after cataloging the most important information, there were still hidden artifacts. These artifacts could be of […]

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