DASH Framework Using Machine Learning Techniques and Security Controls

Algorithm 1

Quality predictor model implementation.

  Input: web logs

  Output: The quality predictor model

1   Start

2   Configure the web service to satisfy framework requirements

2–1   Configuration of storing additional details while logging requests

2–2   Configuration of removing redundant HTTP headers

2–3   Configuration of forcing add and checking security HTTP headers

3   Collecting web logs

4   Process the web logs to generate the dataset

5   Select the appropriate classifier for the Quality predictor model

6   Training generated dataset using the selected classifier

7   End