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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fitbit application analysis

Application Analysis Update 2: Fitbit, LastPass, Steam, and Trello

Introduction The App Analysis team has continued to analyze the artifacts left behind on the machines. We have completed our review of Steam. Also, we analyzed Trello in addition to the original three apps. We are almost done with the other apps as well. While we haven’t found major data breaches, some of the apps […]

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bluetooth tracking

Bluetooth Device Tracking Update 2

Intro In this second blog post we will be delving into the math and code that will calculate our Bluetooth device’s position. We will cover more in detail exactly how our calculations work and the background behind them. We will also address the choices on the values used to perform the calculations. The code has […]

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network automation

Network Automation Update 2

Introduction The Network Automation script has evolved and flourished with each new idea. The scanner has some awesome new features, too! Through this blog post, we plan on elaborating on the process. We’ll also highlight some cool features and services that our Pis have. Changes to the Network Automation Scanner Over the past few weeks, […]

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fitbit application analysis

Application Analysis Update 1

Introduction This project focuses on searching for artifacts left by common desktop applications. We will be analyzing each application within Windows 10. It is the second most popular version of windows. We began by generating data on virtual machines with the chosen applications. The next step is to use various forensic tools to extract information […]

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