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πŸ“Š LogAnalyzer - System Log Monitoring Tool

πŸ“Œ Description I developed LogAnalyzer as a Python-based tool to analyze system log files and detect suspicious activities. This project focuses on identifying anomalies, failed login attempts, and unusual patterns in logs. The goal is to automate log monitoring and improve security analysis.

πŸš€ Features I can read and analyze log files πŸ“‚ I can detect suspicious patterns using regex πŸ” I can identify failed login attempts 🚫 I generate structured output reports πŸ“Š Simple CLI-based interface

πŸ› οΈ Technologies Used Python File Handling Regular Expressions (Regex) JSON/CSV (for report generation)

πŸ“‚ Project Structure LogAnalyzer/ │── log_analyzer.py # Main program │── sample.log # Input log file │── report.json # Output report

βš™οΈ Installation & Setup Install Python from official website

(No external libraries required)

▢️ How to Run python log_analyzer.py

πŸ–₯️ Usage I run the program I provide the log file path The tool scans and analyzes logs It detects suspicious activities I view the generated report

About

I developed a Log Analyzer using Python to monitor and analyze system logs for suspicious activity. It parses log files, detects anomalies, and highlights potential security threats. This project improved my skills in data analysis, pattern recognition, and cybersecurity monitoring.

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