Table 13.

Comparison results of the proposed system against existing security system using artificial intelligence approaches

Ref.	Model	Datasets	Accuracy %
[56]	SAAE-DNN	NSL-KDD test	87.74%
[57]	ICVAE-DNN	NSL-KDD test	85.97%
[58]	Bagging	NSL-KDD test	90.41%
[59]	GAR-forest	NSL-KDD test	90%
Proposed system	LSTM	NSL-KDD test	97.07% with multiple classification and 97.82 with binary classification