Machine learning-based (IDS) have become a critical component of safeguarding our economic and national security
because of the massive quantities of data produced each day and the growing interconnection of the world's Internet
infrastructures. The existing machine Learning Model technique may have difficulty comprehending the ever-increasingly
complex distribution of data invasion patterns. With a small number of data points, a single deep learning algorithm may be
ineffective at capturing different patterns for intrusive attacks.