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README.md

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 # Aircraft-Network-Security-using-YARA-Rules-and-Machine-Learning-for-Threat-Detection-and-Prevention
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+## Overview
+This project introduces an Intrusion Detection and Prevention System (IDPS) specifically designed for the unique cybersecurity requirements of aircraft networks. Leveraging YARA for signature-based detection alongside machine learning for anomaly detection, this system enhances security by identifying and mitigating cyber threats in real time. The IDPS integrates both signature and behavior-based patterns, providing robust protection for aircraft networks from cyber threats like malware, DDoS attacks, and unauthorized access attempts.
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+## Features
+- **Signature-Based Detection**: Utilizes YARA rules for malware signature detection.
+- **Machine Learning Anomaly Detection**: Employs random forest classifiers and feature hashing for behavior-based threat identification.
+- **Real-Time Alerts**: Sends instant alerts to pilots and ground control upon detecting threats.
+- **Incident Response**: Implements automated responses, including blocking IPs and restricting access to compromised zones.