Nevertheless, the final solution is either a failure (mark as 'black' label) or a success (mark as 'white' label) derived using the MIML process.
These instances are processed by the MIML engine layers to categorize into appropriate labels.
MIML processed and labeled instances (classified either as valid/white/good or invalid/black/bad candidates) are stored in SSD i.e., the engine maintains the attack signatures and patterns of normal and abnormal behaviors in a SSD.
Smart MIML-IDPS scheme defense such unknown attacks using behavioral MIML learning mechanism.
From the results, we observe that an average of ~70% - ~80% of the CPU is consumed by Watchdog whereas, Smart MIML -IDPS consumes ~0.7% of CPU and under no conditions did it exceed 1%.
A True positive in this case occurs when an instance from authorized node is correctly classified either as a good or bad labeled candidate by the MIML classifier resulting in a success.
Ie., MIML internal layers helps to dynamically classify uncertain instances either as good(white) or bad(black) labels providing higher security at the receiver.