Table 8.
Python implementation resource analysis.
| Operation | Time complexity | Python time (ms) | NumPy speedup | Memory (MB) |
|---|---|---|---|---|
| ML-KEM Operations | ||||
| Polynomial Mult |  |
12.4 | 8.3
|
4.2 |
| Matrix-Vector |  |
45.7 | 12.1
|
8.9 |
| Compression |  |
3.8 | 15.6
|
2.1 |
| Key Generation |  |
89.3 | 10.2
|
15.6 |
| Neural-LWE Extensions | ||||
| EEG Simulation |  |
8.9 | 45.2
|
6.4 |
| Feature Extraction |  |
15.6 | 23.4
|
4.1 |
| Biometric Distance |  |
4.2 | 18.7
|
2.8 |
| ZCRR Entropy | O(n) | 1.8 | 6.4
|
1.9 |
| System Components | ||||
| Flask Framework | – | – | – | 28.4 |
| JSON Serialization | O(n) | 4.7 | 1.8
|
12.3 |
| Session Management | O(1) | 0.3 | – | 8.2 |
| Total Application | 128.4 | |||