Research Article
A Stacked Deep Learning Approach for IoT Cyberattack Detection
Algorithm 1
Algorithm for stacked deep ResNet models.
Input: Training Data in | Output: ensemble classifier out | Initialisation: | Step 1: learn base-level classifiers Ci | fori =1 to 5 do | Learn Ci based on D. | end for | Step 2: form new data set of predictions Dh | for i=1 to 5 do | Dh={}, where | end for | Step 3: learn a meta classifier | Learn H based on | return |
|