Network Security Analyzer
Inspect IoT network designs, compare STRIDE findings, and test which controls reduce attack paths
Network Security Analyzer
Inspect IoT network designs, identify why they are risky, and test which control reduces the most exposure. The score is a teaching model, not a substitute for a real assessment.
Map the network before scoring it
A smart-home style deployment starts with cameras, a gateway, a phone app, and cloud access on a flat network.
Topology, trust boundary, and attack path
The analyzer highlights exposed nodes, insecure links, and the next best breakpoint.
Risk breakdown
Current finding
The topology view identifies zones and the first trust boundary before scoring individual weaknesses.
risk = identity + crypto + exposure + containment gapsControl effect
No control overlay is active, so all scenario weaknesses are visible.
Accuracy warning
This is a teaching analyzer. A real assessment needs asset inventory, traffic capture, configuration review, vulnerability data, and threat context.
Analyzer Controls
Select a deployment, apply one defense layer, and choose the analysis lens. The diagram, metrics, STRIDE notes, and recommendation update together.
Network Analyzer Quick Reference
List devices by function first. A camera, PLC, or medical sensor should not automatically share trust with a gateway or cloud connector.
A flow is stronger when it has device identity, encrypted transport, authorization, and logging at the boundary.
Every reachable service, management port, protocol bridge, and default account increases ways to interact with the system.
Fixes reduce risk; they rarely erase it. Legacy protocols, physical access, supply chain issues, and operations still matter.
Technical Accuracy Notes
NIST SP 800-82 Rev. 3 frames OT security around segmentation, access control, monitoring, and management of operational constraints.
NIST SP 800-207 describes zero trust as continuously evaluating access rather than trusting location on the network.
Microsoft threat modeling guidance uses STRIDE categories to reason about spoofing, tampering, repudiation, disclosure, denial of service, and privilege elevation.
The score is a deterministic classroom heuristic. It does not query CVEs, prove exploitability, or replace a live assessment.
Common Misreads
TLS helps protect transport, but weak device identity, broad authorization, or exposed admin ports can still leave serious risk.
Useful segmentation includes firewall rules, identity-aware access, monitoring, and operational procedures.
Legacy protocols often need compensating controls such as gateways, VPNs, allowlists, and monitoring.
The goal is a defensible fix plan. A lower score without clear asset ownership and monitoring is misleading.
Practice Prompts
Select Insecure smart home and Attack path. Which device is the easiest entry point?
Select Mixed industrial cell and Segmentation. Why does Modbus still need compensating controls?
Select Connected clinic and STRIDE. Which categories matter most for patient data?
Compare Identity + TLS with Segmentation. Which fix changes the priority recommendation most?