TY  - JOUR 
AU  - González Ramos, Juan Antonio
AU  - Abril Domingo, Evaristo José
AU  - Fernández Reguero, Patricia
AU  - Prieto Tejedor, Javier
AU  - Chamoso Santos, Pablo
PY  - 2026
SN  - 2214-2126
UR  - http://hdl.handle.net/10366/171053
AB  - [EN]Current Network Intrusion Detection Systems (NIDS) often fail to detect adversarial evasion attacks, creating critical security blind spots. To address this, we propose a standardized adversarial evaluation protocol that quantifies performance...
LA  - eng
PB  - Elsevier B.V.
KW  - Network intrusion detection
KW  - Adversarial robustness
KW  - Deep learning
KW  - Hybrid architecture
KW  - CICIoT2023
TI  - Adversarial robustness evaluation of hybrid CNN-LSTM-transformer NIDS on evolving threats
DO  - 10.1016/j.jisa.2026.104467
T2  - Journal of Information Security and Applications
VL  - 100
M2  - 104467
ER  -