Table 3.

Data extraction fields

Field	Objective
Title	Provides the title of research paper
Approach used	List the different approaches related to the DL used in the paper
Datasets	List the different datasets used in the paper for the evaluation purpose
Number of features	List the selected features from the datasets
Attack and legitimate classes identified	Provides the name of attacks used in the paper
Preprocessing strategy	Describes the preprocessing processes used before training the model
Experiment setup/performance optimization of the model	Explains about how the experiment is done/list different parameter values of the model at which it gives best performance
Performance metrics	Provides the results and through these metrics we can compare one model with another model
Strength	List the good points about the model
Weakness	List the weak points of the model
Summary	A concise explanation about the above fields