STARM · HW-07 · HARDWARE
Physical Tampering
STARMCatalog entries from the DIPS Threat Inventory. The paper cites that dataset and does not use this name.
Unauthorized physical access to ground servers.
Severity in the dataset6/10
Not the paper’s H/M/L.
- Target
- Data / Hardware
- Layer in the inventory
- Ground Station Hardware
- Mitigation
- Biometrics and 24/7 surveillance.
- How the inventory says to fix it
- AI: Computer Vision to detect unauthorized presence or cabinet breaching in real-time.
- Quick fix
- Seal check
- ML approaches named
- Autoencoders , Deep Learning (RNNs/LSTMs), K-SVD, Convolutional Neural Networks - CNNs
- Methodology
- Monitoring for anomalous deviations in telemetry data, communication signals, and imaging, ML model training on normal "golden" datasets of satellite operations to learn standard behavioral patterns
- Handler role
- Facility Manager
- Stage
- Operation
- Standard named
- ISO/IEC 27001
- Status in the inventory
- Not evaluated
STARMCatalog entries from the DIPS Threat Inventory. The paper cites that dataset and does not use this name.
Related in the matrix
STARMCatalog entries from the DIPS Threat Inventory. The paper cites that dataset and does not use this name.
Connection recorded in the inventory
Ground Station Breach