CyberShield

CyberShield AI – Real-Time Packet Sniffer & Threat Detection

Overview

CyberShield AI is an advanced real-time network packet sniffer designed to detect cybersecurity threats using a trained AI model. This system analyzes live network traffic, extracts meaningful features, and classifies packets as either benign or malicious. With a detection accuracy of *99.88%, it provides a robust defense against cyber threats such as DDoS attacks, port scanning, malware, and SQL injection attempts.

Key Features

Real-Time Network Monitoring

The system actively captures packets from a Wi-Fi interface, allowing users to monitor their network traffic continuously. Every captured packet is analyzed on the fly, ensuring *instant threat detection* without delays.

AI-Based Cyber Threat Detection

Using a trained AI model, CyberShield AI identifies different types of cyber threats. The model classifies packets based on extracted features such as *protocol type, packet size, source/destination ports, and TTL values. The system can differentiate between normal network activity and potential attacks with high accuracy.

Graphical User Interface (GUI)

A user-friendly interface allows users to view detected threats, confidence scores, and packet details. A dynamic confidence meter visualizes the likelihood of an attack, making it easy to interpret real-time predictions.

PCAP File Analysis

Users can analyze previously recorded network traffic by importing PCAP files. This feature enables forensic analysis of past incidents, helping security professionals detect and understand threats that may have gone unnoticed.

Minimal Resource Usage

CyberShield AI is optimized for speed and efficiency, ensuring *low latency* while sniffing network packets. It processes traffic without slowing down the network or system performance.

How It Works

1. Captures Network Packets – The system detects incoming and outgoing network traffic from a Wi-Fi interface.

2. Extracts Features – It gathers critical information such as packet size, protocol type, source/destination details, and header values.

3. AI-Based Classification – The extracted data is passed to a trained AI model, which classifies the packet as either benign or a specific type of attack.

4. Visualization & Alerts – The results are displayed in an interactive GUI, highlighting malicious packets and their confidence scores.

Performance & Accuracy

- 99.88% accuracy in detecting cyber threats.

- Real-time packet processing ensures instant alerts for suspicious activity.

- Graphical confidence meter provides visual insights into threat detection accuracy.

Future Enhancements

- Cloud integration for remote threat detection.

- Automated alerting system for high-risk threats.

- Advanced deep learning models for even better classification accuracy.

Conclusion

CyberShield AI is a powerful cybersecurity tool that enables real-time network monitoring and threat detection using AI. Its high accuracy, ease of use, and minimal resource consumption make it ideal for cybersecurity professionals, network administrators, and ethical hackers.

By leveraging AI-driven insights, CyberShield AI helps *strengthen network security and prevent cyber attacks* before they escalate. 🚀