OPEN DIGITAL TWIN SECURITY LAB

Securing the systems that mirror the physical world.

Digital twins connect models, telemetry, software, machines, people, and physical processes. Open Digital Twin Security Lab studies the security boundaries created when the digital and physical worlds continuously exchange state.

Independent research. Open defensive resources. No registration required.

SYSTEM MODEL

What is being secured?

The twin is not an isolated object. It is a chain of representations, transformations, assumptions, and authority.

Every arrow is a trust boundary.

Study the security architecture
Physical
Sensors
Edge
Networks
Data
Twin
Models
Decision
Control
Physical
PUBLIC RESEARCH LIBRARY

Four ways into the field

Start with concepts, investigate failure modes, apply controls, or examine what remains unresolved.

FOUNDATIONS

Learn

Digital twins, cyber-physical systems, terminology, architectures, and security principles.

Open resource
TAXONOMY

Threats

Attack surfaces, failure modes, model attacks, synchronization attacks, and consequences.

Open resource
ENGINEERING

Defend

Controls, assessment, architecture patterns, checklists, and threat-modeling resources.

Open resource
SIGNATURE RESOURCE

DTSEC Threat Matrix

An open research taxonomy for examining failure across sixteen layers—from physical sensing and acquisition through models, synchronization, control, federation, supply chain, people, and lifecycle.

Maintained by DigitalTwinSecurity.com. It is not an industry standard or certification.

Open the matrix
01Physical02Acquisition03Edge04Transport05Identity06Data07Model08Simulation
FIELD TOOLS

Built to be used

No account, email gate, analytics, or server-side answer storage.

RESEARCH PRINCIPLES

The physical system has a security boundary.
Its digital twin should too.

  1. Every twin requires an identity.
  2. Every synchronization path is a trust boundary.
  3. Physical telemetry requires provenance.
  4. Models are security-sensitive assets.
  5. Authorized data can still be stale or incorrect.
Read all ten research principles