About the Project

This website presents the project as a complete story: problem, aim, objectives, sensors, architecture, and educational value.

Why this project was built

Industrial systems rely on trustworthy sensor data. When that data is manipulated, delayed, frozen, or degraded, the impact can reach safety, process stability, and operational reliability. CyberSense AI Guard was designed to show those risks in a practical and visual way.

The platform supports training, testing, demonstrations, and OT cybersecurity awareness through an interactive simulation environment.

Core Sensors

The sensor set used in the project

MQ2

Flammable gas detection for early warning of combustible gas leaks in industrial environments.

MQ5

Natural gas monitoring used in pipelines and OT systems.

MQ135

Air quality monitoring to detect harmful gases and anomalies.

Temperature

Monitors thermal stability and detects overheating.

Pressure

Tracks pressure for system safety and instability detection.

Threat Modeling

Key Cyber-Physical Attacks Simulated

These scenarios show how cyber-attacks and sensor faults can affect OT visibility, integrity, safety, and stability.

Loss of Availability

Sensor data becomes unavailable, causing monitoring failure.

Loss of Integrity

Data is manipulated, leading to incorrect system decisions.

Loss of View

Operators lose visibility into the real system state.

Unsafe Process State

Operations continue under dangerous conditions without clear warning.

Control Instability

Erratic values can produce unstable control behavior and wrong responses.

Cascading Failure

A small issue spreads across multiple components and affects the wider system.

Data Decision Mismatch

Sensor readings no longer match the true physical process conditions.

Degraded Confidence

Inconsistent readings reduce trust in alerts, dashboards, and decisions.

Mission Failure

Accumulated faults and attacks eventually prevent the system goal from being achieved.

Value

Educational and cybersecurity impact

The project can support awareness sessions, live demonstrations, and project exhibitions by making OT threats easier to understand through visuals and scenario-based explanation.

It also shows how browser-based and offline-first design can still support meaningful industrial security experiences.

Audience

Made for more than instructors

This website was designed to be attractive to visitors, classmates, event guests, and anyone who wants a clear overview of the senior project without reading the full report first.