RansomWatch — Starting My Journey Into Ransomware Detection

🛡️ RansomWatch — Starting My Journey Into Ransomware Detection

Ransomware is one of those cybersecurity threats that can turn a normal computer into a disaster in a very short time.

Files start changing rapidly. Processes behave strangely. Important data can become inaccessible.

But what if we could detect these behaviors before the damage becomes too serious?

That’s the idea behind my new project: RansomWatch.

🚀 What is RansomWatch?

RansomWatch is a project I’m building to explore AI-based ransomware behavior detection and analysis.

Instead of focusing only on known ransomware signatures, the goal is to monitor system activity and identify suspicious behavioral patterns.

The basic idea is:

System Activity
      ↓
File & Process Monitoring
      ↓
Feature Extraction
      ↓
ML-Based Detection
      ↓
Risk Score
      ↓
Security Alert

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The project will also explore using RAG and AI analysis to provide additional context about detected incidents.

🧪 How will I test it?

I’m building a controlled attack simulator that generates ransomware-like behavior for testing.

The purpose isn’t to create real ransomware.

Instead, it will provide safe test activity so I can see whether RansomWatch can recognize suspicious behavior and generate an appropriate alert.

🧠 What I want to learn

This project is also a learning journey for me.

While building RansomWatch, I want to understand how different areas of cybersecurity can work together:

• 🖥️ System monitoring
• 📁 File activity analysis
• ⚙️ Process monitoring
• 🤖 Machine learning
• ⚠️ Risk scoring
• 🧾 Digital evidence
• 📚 RAG
• 🧠 AI-assisted analysis
• 🌐 APIs and dashboards

🏗️ Building It From Scratch

I’m not starting with a fully completed system.

I’ll be building RansomWatch step by step and documenting the process here on Dev.to.

The first goal is simple:

Build a working detection pipeline before building a fancy interface.

So I’ll start with:

Simulator → Monitor → Features → ML → Risk → Alert

Then I’ll gradually add the evidence system, RAG, AI analysis, API, and dashboard.

📖 This is just Part 1

This is the beginning of the RansomWatch Build Series.

In the upcoming posts, I’ll share what I’m building, the problems I run into, the decisions I make, and what I learn along the way.

I don’t expect everything to work perfectly on the first attempt.

That’s actually the point.

Build → Break → Understand → Improve.

Let’s see where this project goes. 🚀

🔗 Project

Project: RansomWatch
Focus: Ransomware Behavior Detection & Analysis
Built with: Python, Machine Learning, System Monitoring, RAG & AI

More updates coming soon.

CyberSecurity #Ransomware #Python #MachineLearning #ArtificialIntelligence #InfoSec #DFIR #ThreatDetection #CyberSecurityProjects #BuildInPublic

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