IoT devices are not fully adapted to incidence response techniques owing to the fact that the current incidence response tools and procedures are not able to meet the heterogeneity and distributed nature of the IoT infrastructures. As a result, gathering, examining and analyzing potential traces of any incident from IoT environments poses a challenge to incident responders. This paper presents a tool that will provide useful information to an investigator about the IoT devices on some specific network. The developed tool will help in discovering IoT devices on a network that is able to support IoT investigative capabilities with a degree of certainty. The paper is linked below.

This is the research component of the metaVisualizer listed above. Image metadata is an important piece of information in any digital investigation process. It can tell you information about where a picture was taken, what time it was taken, what device took the picture, and so much more. In this research paper we have designed and developed a java application to help aid investigators by pulling relevant metadata out of a set of images inside a folder. Once this metadata was retrieved, we displayed it in a user friendly fashion with the goal being to help an investigator draw insight into the pictures that were taken. One method for helping insight be drawn easier was implementing the google maps API in a javafx front end. The paper is linked below

With the growing ease of connecting a vehicle and other technologies to the Internet, the need for security is growing. In a connected vehicle, there are many different connections and therefore many different systems can be exploited. In this paper, we shed the light on the security of several features of connected vehicles to determine whether or not they are vulnerable to attacks and identify possible mitigations. We focus on four features, namely, Bluetooth, OBD (On Board Diagnostics) System, Infotainment System, and OTA (Over the air). The paper is linked below.

The main purpouse of this project is to help save the lives of infants left in cars, however its application does not end there. It can also be applied to most anything that someone may leave in a car. Our goal was accomplished by using an arduino and various sensors to detect the presence of precious cargo in a car, and an android application which interfaced using BLE to notify a user.

Smart Ticket is a smart IT ticketing system built for a design class at Florida Polytechnic University. The backend uses nodeJS to interact with Gmail and a SQL database allowing users to email in tickets and an agent to respond to the tickets in a timely manner. The system uses machine learning to try and automatically resolve tickets sent in by users. It can also pull a from a list of frequently asked questions to resolve issues.

This is a web application built for directnic to help users convert pdf to jpg images. It uses a PHP backend and imagemagick to convert all the pages of a pdf to jpg, png, or gif images. A pdf that has multiple pages will automatically convert to seperate images and zip for the user to download. The front end is designed using bootstrap and custom CSS to fit the design specifications.

Name Tumbler is a web application built for directnic it acts as the key to unlocking the best domains for you. It allows you to enter as many words as you like seperated by commas and then seperate more words on a new line and combines the words as much as possible. While combining the site will also search to see if that specific combination is available for purchase or if it is already registered. The majority of this project is written using backbone in the client side JavaScript.

While working at iQor I was asked to look into finding an open source program to run security training by Phishing. After researching several options I was asked to implement GoPhish for the company. I was able to setup the enviroment for GoPhish and customize the opensource project to better fit the company's needs. I also trained the operations department on how to use the software and created documentation for them to use.

In my final semester at Florida Polytechnic University I joined a class called Autonomous Robotics Systems. In this course we built and programmed a one tenth scale autonomous vehichle. This vehichle used ROS to communicate amongst various sensors such as LiDar, Camera, and IMU. Computer Vision was often done on images to help determine the best path for the car to go and drive itself.