🏆 ACHIEVEMENT UNLOCKED: HYBRID SIEM MASTERY
├── 🎯 Detection accuracy: 96.2%
├── ⚡ Response time: <5 seconds
├── 🤖 Automation level: Near-zero human intervention
├── 🔥 Threat coverage: Cloud + On-premise
└── 📊 Dashboard: Real-time MITRE ATT&CK correlation

🛠️ TECHNICAL DOMINATION:

• 🏗️ Hybrid Architecture: Azure Sentinel + Local Windows 10 Honeypots
• 🔍 Custom FIM: Node.js SHA-256 integrity monitoring → Azure Log Analytics
• ⚡ Lightning Response: Azure Logic Apps isolate VMs, block IPs, notify analysts
• 📈 AI Dashboard: Python + Streamlit with anomaly detection & PDF reporting
• 🎯 MITRE Mapping: Automated ATT&CK technique correlation
• 📊 Performance: Benchmarked against traditional SIEM (Clear victory)

🎖️ RECOGNITION:

• 🥇 Nominated for cybersecurity research journal publication
• 🏆 Academic supervisor recognition for innovation
• 🚀 Industry-level performance metrics achieved

🔗 EXPLORE THE FORTRESS

🎯 MISSION BRIEFING:

• 🥷 Attack Simulation: Kali Linux → Windows 7 SP1 (EternalBlue)
• 🛡️ Defense System: Ubuntu OSSEC HIDS Server
• 📡 Detection Capability: Real-time exploitation monitoring
• 🚨 Alert System: User creation, privilege escalation, system changes
• 📊 Visualization: OSSEC Web UI with custom dashboards

⚡ TACTICAL OUTCOMES:

• ✅ 100% exploitation detection rate
• 📈 Real-time alert generation during Metasploit attacks
• 🔧 Actionable hardening recommendations delivered
• 📋 Complete incident response playbook created

🏗️ INFRASTRUCTURE MASTERY:

🔥 CLOUD LOAD BALANCER DEPLOYMENT
├── ☁️ AWS EC2 + Docker Compose orchestration
├── 🔧 NGINX reverse proxy with ApacheBench testing
├── ⚡ PHP/MySQL backend with zero-downtime rollouts
├── 📈 Performance: 18.6% throughput increase under stress
└── 🚀 100% automated deployment pipeline

🎮 SDN VIDEO STREAMING TESTBED
├── 🌐 OpenDaylight SDN controller
├── 🔗 Mininet network topology scripting
├── 📺 DASH.js adaptive video player (custom-modified)
├── 📊 Real-time QoS monitoring & bitrate adaptation
└── 🎯 Dynamic network simulation (latency, packet loss)

🎖️ ENGINEERING EXCELLENCE:

• 🛠️ Everything built from scratch - no templates
• ⚡ One-command deployment script
• 📱 Real-time monitoring of buffer levels, resolution changes
• 🌊 Seamless adaptation to network conditions

🎯 FORENSIC ANALYSIS BREAKDOWN:

• 📦 Evidence: Captured .pcap file analysis
• 🔍 Tools Deployed: Wireshark + Snort IDS/IPS
• 🚨 Threats Discovered: HTTP malware delivery, encrypted C2 comms
• 🎯 Attack Vectors: Lateral movement attempts identified
• 📋 Custom Rules: Snort signatures for automated detection

🏆 INVESTIGATION RESULTS:

• 🔓 Infection vectors fully mapped
• 📡 Command & Control infrastructure exposed
• 🛡️ Custom detection rules created for future prevention
• 📊 Complete incident timeline reconstructed

🤖 AUTOMATED SECURITY ARSENAL:

CI/CD SECURITY PIPELINE COMPONENTS:
├── 🔍 Static Analysis: Semgrep integration
├── 🌐 Dynamic Testing: OWASP ZAP baseline scans
├── 🔐 Secrets Detection: Gitleaks automation
├── 📋 Code Quality: ESLint enforcement
├── 📊 Dependency Scanning: npm audit integration
└── 📈 Automated Reporting: HTML reports with GitHub Actions

🎯 SECURITY IMPROVEMENTS:

• ⚡ Shift-left security implementation
• 🚨 Real-time vulnerability detection
• 📊 Automated security header validation
• 🔧 Developer-friendly issue remediation
• 📈 Complete traceability with detailed reports

🏗️ AZURE SECURITY ARCHITECTURE:

• 🖥️ Vulnerable VM Deployment: Intentional Windows 10 security gaps
• 🔍 OpenVAS Integration: Credentialed + unauthenticated scanning
• 📊 Vulnerability Assessment: Complete risk analysis & scoring
• 🔧 Remediation Playbook: Step-by-step hardening guide
• 📈 Before/After Metrics: Measurable security improvements

🎖️ CLOUD MASTERY ACHIEVED:

• 🛡️ Secure Azure network architecture design
• 📊 Comprehensive vulnerability lifecycle management
• ⚡ Automated scanning and reporting workflows
• 🔧 Production-ready remediation strategies