System Technologies

The core engine driving the IoMT Cybersecurity Framework, combining state-of-the-art AI with enterprise-grade security protocols.

Core Infrastructure

Multi-Layered Defense Stack

AI & ML Models

State-of-the-art models optimized for IoMT threat landscapes.

  • Random Forest: High-speed packet classification.
  • LSTM: Time-series anomaly detection.
  • XGBoost: Precision threat scoring.

AI Smart Features

Autonomous features that move beyond traditional detection.

  • Proactive Isolation: Zero-day containment.
  • PHI Redaction: AI-driven data privacy.
  • Adaptive Learning: Dynamic threat updates.

Advanced Techniques

Hardened security protocols for healthcare resilience.

  • Self-Healing Rollback: IoT recovery.
  • Incident Correlation: Multi-vector analysis.
  • Edge Classification: Localized threat parsing.
Web & Application Stack

Frontend Ecosystem

React 18 Tailwind CSS ApexCharts

Backend Engine

Spring Boot 3.0 Java 17 MySQL 8.0

Real-time Comms

MQTT v5 WebSockets REST APIs
Visual Intelligence

Command Center Dashboards

Real-time visualization of the 4-layer cybersecurity framework in action.

Main Dashboard
DASHBOARD-PRIMARY

Security Overview

Real-time monitoring of network alerts, threat levels, and device connectivity.

Dashboard 1
DASHBOARD-ANALYSIS

Incident Correlation

Detailed visualization of AI correlation engine findings and attack vectors.

Dashboard 2
DASHBOARD-NETWORK

Traffic Intelligence

Visualization of IoMT device traffic patterns and anomaly detection results.

Dashboard 3
DASHBOARD-RESPONSE

Automated Mitigation

Tracking autonomous response actions including device isolation and rollbacks.

Dashboard 4
DASHBOARD-HARDWARE

Sensor Node telemetry

Live telemetry data from healthcare sensor nodes and edge classification performance.