Sparse Attack Detection on Gaussian Noise (Trajectory Shift 1.0e4, m=150) (test)
1.22NRMSESSAD
Evaluation Results
| Method | Links | |
|---|---|---|
| SSADsigma^2 (Variance)=1.0 × 10−4, N (Total number of sensors)=50, NA (Number of sensors attacked)=402025.06 | 1.22 | |
| SSADsigma^2 (Variance)=1.0 × 10−2, N (Total number of sensors)=50, NA (Number of sensors attacked)=402025.06 | 1.22 | |
| APCC-SIMPLEsigma^2 (Variance)=1.0 × 10−4, N (Total number of sensors)=50, NA (Number of sensors attacked)=102025.06 | 2.52 | |
| APCC-SIMPLEsigma^2 (Variance)=1.0 × 10−2, N (Total number of sensors)=50, NA (Number of sensors attacked)=102025.06 | 2.52 | |
| SSADsigma^2 (Variance)=1.0 × 10−4, N (Total number of sensors)=50, NA (Number of sensors attacked)=102025.06 | 3.1 | |
| SSADsigma^2 (Variance)=1.0 × 10−2, N (Total number of sensors)=50, NA (Number of sensors attacked)=102025.06 | 3.1 | |
| APCC-SIMPLEsigma^2 (Variance)=1.0 × 10−4, N (Total number of sensors)=50, NA (Number of sensors attacked)=302025.06 | 3.56 | |
| APCC-SIMPLEsigma^2 (Variance)=1.0 × 10−2, N (Total number of sensors)=50, NA (Number of sensors attacked)=302025.06 | 3.56 | |
| APCC-SIMPLEsigma^2 (Variance)=1.0 × 10−4, N (Total number of sensors)=50, NA (Number of sensors attacked)=402025.06 | 5.03 | |
| APCC-SIMPLEsigma^2 (Variance)=1.0 × 10−4, N (Total number of sensors)=20, NA (Number of sensors attacked)=102025.06 | 5.03 | |
| APCC-SIMPLEsigma^2 (Variance)=1.0 × 10−2, N (Total number of sensors)=50, NA (Number of sensors attacked)=402025.06 | 5.03 | |
| APCC-SIMPLEsigma^2 (Variance)=1.0 × 10−2, N (Total number of sensors)=20, NA (Number of sensors attacked)=102025.06 | 5.03 | |
| APCC-SIMPLEsigma^2 (Variance)=1.0 × 10−4, N (Total number of sensors)=10, NA (Number of sensors attacked)=52025.06 | 7.12 | |
| APCC-SIMPLEsigma^2 (Variance)=1.0 × 10−2, N (Total number of sensors)=10, NA (Number of sensors attacked)=52025.06 | 7.12 | |
| SSADsigma^2 (Variance)=1.0 × 10−4, N (Total number of sensors)=10, NA (Number of sensors attacked)=52025.06 | 7.77 | |
| SSADsigma^2 (Variance)=1.0 × 10−2, N (Total number of sensors)=10, NA (Number of sensors attacked)=52025.06 | 7.77 | |
| SSADsigma^2 (Variance)=1.0 × 10−4, N (Total number of sensors)=20, NA (Number of sensors attacked)=102025.06 | 7.87 | |
| SSADsigma^2 (Variance)=1.0 × 10−2, N (Total number of sensors)=20, NA (Number of sensors attacked)=102025.06 | 7.87 | |
| SSADsigma^2 (Variance)=1.0 × 10−4, N (Total number of sensors)=50, NA (Number of sensors attacked)=302025.06 | 9.23 | |
| SSADsigma^2 (Variance)=1.0 × 10−2, N (Total number of sensors)=50, NA (Number of sensors attacked)=302025.06 | 9.23 |