Projects

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Introduction and Installation Guide to Wazuh SIEM

Wazuh is a powerful, open-source SIEM (Security Information and Event Management) tool — and the best part? It’s completely free! It’s an excellent choice for those looking to secure their home lab while gaining hands-on experience with SIEM tools. In this article, I’ll document my learning journey, walk you through the installation process, and cover its basic features and applications.

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CTF Write Up - Shush Protocol

Tools: Wireshark, Hexadecimal to ASCII Converter, Modbus Protocol Analysis Tool (optional)

Techniques: Network Protocol Analysis, Hexadecimal Data Decoding, Network Security and Forensics, Pattern Recognition and Data Analysis

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CTF Write Up - Critical Flight

Tools: Gerber File Viewer

Techniques: PCB Design File Analysis, Layer Inspection in PCB Files

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CTF Write Up - Oops PM

Tools: Netcat (nc)

Techniques: Hardware Description Language (VHDL) Analysis (optional)

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Building AMD PC

Over the past few years, I’ve been relying on my ARM-based M1 MacBook Pro as my go-to device for learning about information security, machine learning, and cloud computing. While it has served me well, the limitations of its operating system and hardware often created obstacles. So, with the Black Friday deals, I decided to build my own home lab.

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Building My Personal Website: A Journey with AWS, Bootstrap, and More

This project enhanced my skills in building erichsu.fyi, utilizing AWS, Bootstrap, and GoDaddy. It involved mastering AWS configurations, HTML and CSS web design, and using tools like Cyberduck, Google Analytics, Stack Overflow. The experience highlights the synergy of technology, online learning, and community feedback, leading to a successful and functional website.

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Out & About — developing an app prototype

The project "Out & About", an app prototype, designed to simplify event planning. It enables users to democratically decide on activities like dining, movies, or hikes. The app distinguishes itself from competitors by offering a streamlined decision-making process. Key features include convenience, time-saving, and discovery of new experiences. The monetization strategy involves user data insights, advertising, and a rewards system. User research shows strong market interest, especially for social outings. The development included usability testing and future plans focus on enhancing user engagement and adding more personalized features.

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Predictive modeling on Airbnb listing data

The project explores predictive modeling for Airbnb listings. It aims to help Airbnb listers improve ratings and profits using a dataset from 2017 focused on U.S. listings. The study involves data cleaning, visualization, and developing a Multiple Linear Regression model to predict prices and identify key factors affecting them. Key insights include the impact of amenities, room types, and cancellation policies on pricing. The model provides practical suggestions for both new and existing listers to optimize their Airbnb listings.

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