STARM · NW-01 · NETWORK
Uplink Jamming
STARMCatalog entries from the DIPS Threat Inventory. The paper cites that dataset and does not use this name.
Saturating command frequency with noise.
Severity in the dataset8/10
Not the paper’s H/M/L.
- Target
- Signal Protocol
- Layer in the inventory
- Physical Layer
- Mitigation
- Frequency hopping and directional antennas.
- How the inventory says to fix it
- AI: Cognitive Radio to autonomously hop to clean frequencies by predicting jammer patterns.
- Quick fix
- Switch frequency
- ML approaches named
- CNNs for RF spectrum classification, Autoencoders (RF anomaly detection), SVM, Isolation Forest, Spectrogram-based Deep Learning
- Methodology
- Sudden drop in signal-to-noise ratio (SNR), abnormal RF energy patterns, loss of command integrity, unexpected carrier interference
- Handler role
- RF Engineer
- Stage
- Operation
- Standard named
- ITU RR
- Status in the inventory
- Status unknown
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
DDoS