Back to Projects
Security
Proprietary

CyberShield - Real-Time Linux Firewall

Enterprise-grade firewall system engineered in C with direct Linux kernel integration, featuring real-time deep packet inspection (DPI), advanced threat detection algorithms, and automated response mechanisms. Achieves 8 Gbps DDoS mitigation with sub-millisecond response times through kernel-space processing and optimized memory management.

Vibhek Soni cybersecurity engineer CyberShield - Real-Time Linux Firewall detailed project showcase featuring security
The Vision

To create an enterprise-grade security solution that operates at kernel level, providing real-time protection against evolving cyber threats while maintaining optimal system performance and minimal resource overhead.

The Story

CyberShield emerged from the critical need to address sophisticated DDoS attacks that were overwhelming traditional firewall solutions. This project represents a deep dive into kernel-space programming, where performance and security converge at the lowest system levels. The challenge was building a solution that could process millions of packets per second while maintaining intelligent threat analysis.

Development Journey
A human-friendly timeline of how this project came to life
Week 1-2

Threat Analysis & Architecture Design

Conducted comprehensive analysis of existing DDoS attack patterns and firewall limitations. Designed kernel-space architecture for maximum performance, focusing on zero-copy packet processing and lock-free data structures to minimize latency overhead.

Week 3-6

Kernel Module Development

Implemented core firewall engine as a Linux kernel module using netfilter hooks. Developed custom memory pool allocators and packet inspection algorithms optimized for high-throughput environments with minimal CPU impact.

Week 7-10

Deep Packet Inspection Engine

Built sophisticated DPI engine capable of analyzing packet contents in real-time. Implemented pattern matching algorithms, behavioral analysis for anomaly detection, and automated threat classification systems with machine learning integration.

Week 11-13

Performance Optimization & Load Testing

Conducted extensive performance optimization using profiling tools and stress testing with simulated 8+ Gbps traffic loads. Achieved sub-millisecond response times through cache optimization and interrupt coalescing techniques.

Week 14-16

Production Deployment & Monitoring

Deployed to production VPS infrastructure with comprehensive monitoring and alerting systems. Implemented real-time analytics dashboard and automated incident response mechanisms for continuous threat mitigation.

Technologies Used
The tools and languages that made this project possible
C
Linux Kernel Modules
iptables/netfilter
Kernel-space Programming
Deep Packet Inspection
Memory Pool Management
Real-time Analytics
VPS Infrastructure
Project Impact

8 Gbps DDoS mitigation • <0.5ms response latency • 90% attack prevention rate • Real-time threat analysis