STARM · NW-02 · NETWORK
Downlink Jamming
STARMCatalog entries from the DIPS Threat Inventory. The paper cites that dataset and does not use this name.
Blocking users from receiving satellite data.
Severity in the dataset6/10
Not the paper’s H/M/L.
- Target
- Data Stream
- Layer in the inventory
- Physical Layer
- Mitigation
- Increasing transmit power or signal diversity.
- How the inventory says to fix it
- AI: Adaptive filtering using deep learning to isolate the signal from noise.
- Quick fix
- Filter noise
- ML approaches named
- CNN on spectrogram data, LSTM for temporal RF behavior, k-means clustering, Random Forest classifiers
- Methodology
- Increased packet loss, degraded telemetry quality, abnormal modulation errors, spectrum occupancy anomalies
- Handler role
- Network Engineer
- Stage
- Operation
- Standard named
- IEEE 802.11
- Status in the inventory
- Avoided
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
Jamming