A LIGHTWEIGHT HYBRID DEEP LEARNING FRAMEWORK FOR MULTI-CLASS NETWORK INTRUSION DETECTION
The growing variety of cyberattacks has increased the need for intrusion detection systems that can detect multiple categories of attack with high reliability. We propose a lightweight hybrid framework LHCBA-Net, which integrates one dimensional convolutional neural networks, bidirectional long short term memory and te...