Malware Detection in Self-Driving Vehicles Using Machine Learning Algorithms

Algorithm 1

Improved feature selection

Input: is a universal set with all features.

Output: is a subset with selected feature by IFS method.

1: Initialize .

2: Get all by linear correlation coefficient.

3: Sort values for .

4: Choose sets for top with high value of , for relevant variable and .

5: Get combination , where and .

6: Determine , where the maximum of F1 score with .

7: Get all by information gain.

8: Get is related to highly ranking variable.

9: Choose sets for top with high value of , relevant variable and .

10: Get elements , where and .

11: Determine , where maximum of F1 score with .

12: Merge .