Project ID: 25-26J-70

Real-Time SIEM-Based Cybersecurity Framework for IoMT Environments

An advanced, 4-layer AI-driven security architecture designed specifically for resource-constrained healthcare networks. Ensuring patient safety through automated threat detection, real-time correlation, and autonomous response.

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40%

Reduction in Alert Fatigue

<30s

Automated Response Time

4-Layer

Integrated AI Architecture

Advanced System Architecture

Our framework operates on a multi-dimensional pipeline, from specialized traffic ingestion to autonomous network isolation. This diagram illustrates the data flow between medical nodes and the centralized AI-driven SIEM hub.

  • Real-time MQTT & HL7 Traffic Ingestion
  • Hybrid Ensemble ML Detection Layer
  • Autonomous Incident Containment
Deep Dive Methodology
System Architecture Diagram

The 4-Pillar Framework

Our solution is modularized into four specialized engines, each addressing a critical gap in medical device security.

1. SIEM Monitoring

Intelligent alert prioritization and noise reduction to empower security analysts and eliminate alert fatigue in dense IoMT networks.

2. AI Threat Intelligence

CPU-optimized detection engines that run directly on hospital gateways, providing zero-day protection without expensive hardware.

3. Adaptive Correlation

Fuses heterogeneous logs into high-fidelity incidents, assigning severity based on patient risk and clinical context.

4. Automated Response

Context-aware threat containment including network isolation, log scrubbing for PHI, and automated privilege rollback.

Hardware Proof

Real-World IoMT Node Implementation

Our research isn't just theoretical. We've developed a multi-node sensor network using **ESP32 microcontrollers** and specialized medical sensors (ECG, Temperature, Motion) to simulate real-world hospital environments and validate our framework's performance.

Edge Nodes

ESP32-based multi-sensor array

Connectivity

MQTT / HL7 v2 Protocol Stack

Hardware Implementation
LIVE THREAT FEED
NODE_STATUS: SCANNING...
[INFO] Network scan initiated on Medical-VLAN-04...
[INFO] Analyzing ESP32 Sensor Node 01 traffic patterns...
[WARN] Unusual MQTT traffic detected from Node 07. Initiating deep packet inspection.
[INFO] AICE Correlation Engine: Status Nominal. No active breaches found.

HIPAA

DATA PRIVACY

NIST SP 800-53

CONTROL FRAMEWORK

GDPR

DATA PROTECTION

ISO 27001

ISMS STANDARD
Security Entity
[SECURITY_SCAN_ACTIVE]