Review
Open access
Jul 2026
DEEP LEARNING-BASED INTRUSION DETECTION IN COMPUTER SYSTEMS AND NETWORKS: ADVANCES, HYBRIDS, AND CHALLENGES 2022–2026
It was found that hybrid and ensemble models provide the highest accuracy in complex environments (over 99%), while the combination of convolutional neural networks with recurrent networks or Transformers is the most effective solution for detecting multi-stage attacks.
V. Chelak, Oleksii Hornostal, Yehor Chelak et al.
· Advanced Information Systems · 0 citations