STARM · HW-02 · HARDWARE
Counterfeit Components
STARMCatalog entries from the DIPS Threat Inventory. The paper cites that dataset and does not use this name.
Substandard parts with undocumented vulnerabilities.
Severity in the dataset8/10
Not the paper’s H/M/L.
- Target
- Hardware Integrity
- Layer in the inventory
- Electronic Components
- Mitigation
- Rigorous vendor vetting & testing.
- How the inventory says to fix it
- AI: ML models to analyze electrical characteristics and 'fingerprint' components against known genuine profiles.
- Quick fix
- Component replacement
- ML approaches named
- Convolutional Neural Networks (CNNs)
- Methodology
- Convolutional Neural Networks (CNNs), analyze product images to distinguish between genuine and fake items
- Handler role
- Procurement Officer
- Stage
- Procurement
- Standard named
- IEEE 1149.1
- Status in the inventory
- Avoided
STARMCatalog entries from the DIPS Threat Inventory. The paper cites that dataset and does not use this name.
Connection recorded in the inventory
Hardware Backdoors