STARM · HW-03 · HARDWARE
Side-Channel Attacks
STARMCatalog entries from the DIPS Threat Inventory. The paper cites that dataset and does not use this name.
Measuring power/heat to extract keys.
Severity in the dataset7/10
Not the paper’s H/M/L.
- Target
- Cryptographic Keys
- Layer in the inventory
- Processor / Memory
- Mitigation
- Hardware-based constant-time execution.
- How the inventory says to fix it
- Rule-based: Enforce constant-time algorithms and power-balancing circuits. AI: Monitor power consumption patterns to detect probing.
- Quick fix
- Shielding
- ML approaches named
- Convolutional neural networks (CNNs) and Random forests
- Methodology
- Training models on hardware, power, timing, or electromagnetic traces to identify anomalies indicating secret key leakage
- Handler role
- Security Architect
- Stage
- Design
- Standard named
- ISO/IEC 17825
- Status in the inventory
- Partially managed
STARMCatalog entries from the DIPS Threat Inventory. The paper cites that dataset and does not use this name.
Connection recorded in the inventory
Eavesdropping