A study published in The Journal of Engineering Research at Sultan Qaboos University presents an advanced intrusion detection system (IDS) designed to improve the accuracy and efficiency of identifying cyberattacks. The proposed model combines a double feature selection technique with a stacked ensemble machine learning approach to enhance detection performance while reducing computational complexity.