GuardFlow

Overview

A logistic regression model that detects malicious websites, implemented as a browser extension.

Key Features

• Machine learning detection
• Browser extension integration
• Real-time analysis
• Data visualization
• Model training interface

Technical Implementation

Model Training

python
import sklearn
from sklearn.linear_model import LogisticRegression

def train_model(X, y):
    model = LogisticRegression()
    model.fit(X, y)
    return model

Browser Extension

javascript
const analyzeWebsite = async (url) => {
    const features = await extractFeatures(url);
    return model.predict(features);
};

Components

• Data preprocessing
• Model training
• Feature extraction
• Browser integration