semantic_scholarTehnički Vjesnik2026-08-15
A Domain-Adaptive Gated Deep Learning Framework with Dynamic Dropout Optimization for Network Intrusion Detection System
R. Nithya, K. V. Kumar, Sujata Joshi
TL;DR: A new intrusion detecting framework is presented in this paper that is based on a combination of a Domain-adaptive Gated Deep Belief Network (DomG-DeNet) and an enhanced optimization method known as Builder-on-Zebra Recurrent Dropout Optimization (BoZ-RDO).
: Due to the rapid growth of the modern network infrastructures and the rise in the sophistication of the attacks by criminals based on networks, intrusion detection system (IDS) has become a crucial component in offering network security. The common machine learning and the exis…