Cover Image

Exploring the Effect of DNN Depth on Adversarial Attacks in Network Intrusion Detection Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	ElShehaby, Mohamed, Matrawy, Ashraf
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evasion Adversarial Attacks Remain Impractical Against ML-based Network Intrusion Detection Systems, Especially Dynamic Ones
by: elShehaby, Mohamed, et al.
Published: (2023)

A No-Defense Defense Against Gradient-Based Adversarial Attacks on ML-NIDS: Is Less More?
by: elShehaby, Mohamed, et al.
Published: (2026)

A Novel Perturb-ability Score to Mitigate Evasion Adversarial Attacks on Flow-Based ML-NIDS
by: elShehaby, Mohamed, et al.
Published: (2024)

Introducing Adaptive Continuous Adversarial Training (ACAT) to Enhance ML Robustness
by: elShehaby, Mohamed, et al.
Published: (2024)

A Conditional Tabular GAN-Enhanced Intrusion Detection System for Rare Attacks in IoT Networks
by: Menssouri, Safaa, et al.
Published: (2025)

Exploring DNN Robustness Against Adversarial Attacks Using Approximate Multipliers
by: Askarizadeh, Mohammad Javad, et al.
Published: (2024)

A Defensive Framework Against Adversarial Attacks on Machine Learning-Based Network Intrusion Detection Systems
by: Tafreshian, Benyamin, et al.
Published: (2025)

Hierarchical Classification for Intrusion Detection System: Effective Design and Empirical Analysis
by: Uddin, Md. Ashraf, et al.
Published: (2024)

Enhanced Intrusion Detection System for Multiclass Classification in UAV Networks
by: Menssouri, Safaa, et al.
Published: (2024)

A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles
by: Uddin, Md Ashraf, et al.
Published: (2025)

Assessing the Resilience of Automotive Intrusion Detection Systems to Adversarial Manipulation
by: Longari, Stefano, et al.
Published: (2025)

Robust Semi-Supervised Temporal Intrusion Detection for Adversarial Cloud Networks
by: Chattopadhyay, Anasuya, et al.
Published: (2026)

Robust Intrusion Detection System with Explainable Artificial Intelligence
by: Paltun, Betül Güvenç, et al.
Published: (2025)

Diffusion-based Adversarial Purification for Intrusion Detection
by: Merzouk, Mohamed Amine, et al.
Published: (2024)

SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection
by: Vitorino, João, et al.
Published: (2023)

Adaptive Intrusion Detection System Leveraging Dynamic Neural Models with Adversarial Learning for 5G/6G Networks
by: Neha, et al.
Published: (2025)

Enhancing Adversarial Robustness in Network Intrusion Detection: A Layer-wise Adaptive Regularization Approach
by: Nasir, Hira, et al.
Published: (2026)

Privacy Preservation Techniques (PPTs) in IoT Systems: A Scoping Review and Future Directions
by: Alalade, Emmanuel, et al.
Published: (2025)

Shift Detection and Adaptation for Network Intrusion Detection
by: Mousavipour, Ehssan, et al.
Published: (2025)

Feature Selection for Network Intrusion Detection
by: Westphal, Charles, et al.
Published: (2024)

Investigating Application of Deep Neural Networks in Intrusion Detection System Design
by: Jeje, Mofe O.
Published: (2025)

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network
by: Althunayyan, Muzun, et al.
Published: (2025)

MLSTL-WSN: Machine Learning-based Intrusion Detection using SMOTETomek in WSNs
by: Talukder, Md. Alamin, et al.
Published: (2024)

An Adversarial Robustness Benchmark for Enterprise Network Intrusion Detection
by: Vitorino, João, et al.
Published: (2024)

MAED: Mathematical Activation Error Detection for Mitigating Physical Fault Attacks in DNN Inference
by: Ahmadi, Kasra, et al.
Published: (2026)

Adaptive Intrusion Detection for Evolving RPL IoT Attacks Using Incremental Learning
by: Bas, Sumeyye, et al.
Published: (2025)

usfAD Based Effective Unknown Attack Detection Focused IDS Framework
by: Uddin, Md. Ashraf, et al.
Published: (2024)

SCGNet-Stacked Convolution with Gated Recurrent Unit Network for Cyber Network Intrusion Detection and Intrusion Type Classification
by: Akter, Rajana, et al.
Published: (2024)

CND-IDS: Continual Novelty Detection for Intrusion Detection Systems
by: Fuhrman, Sean, et al.
Published: (2025)

Exploring Robust Intrusion Detection: A Benchmark Study of Feature Transferability in IoT Botnet Attack Detection
by: Guerra-Manzanares, Alejandro, et al.
Published: (2026)

Evaluating Tabular Representation Learning for Network Intrusion Detection
by: Butt, Muhammad Usman, et al.
Published: (2026)

Flow Exporter Impact on Intelligent Intrusion Detection Systems
by: Pinto, Daniela, et al.
Published: (2024)

Evaluating the Robustness of a Production Malware Detection System to Transferable Adversarial Attacks
by: Nasr, Milad, et al.
Published: (2025)

XAI and Statistical Analysis for Reliable Intrusion Detection in the UAVIDS-2025 Dataset: From Tree to Hybrid and Tabular DNN Ensembles
by: Zarkadis, Iakovos-Christos, et al.
Published: (2026)

A Temporal Convolutional Network-based Approach for Network Intrusion Detection
by: Nazre, Rukmini, et al.
Published: (2024)

A Lightweight Multi-Attack CAN Intrusion Detection System on Hybrid FPGAs
by: Khandelwal, Shashwat, et al.
Published: (2024)

Self-Supervised Learning of Graph Representations for Network Intrusion Detection
by: Guerra, Lorenzo, et al.
Published: (2025)

Attack by Unlearning: Unlearning-Induced Adversarial Attacks on Graph Neural Networks
by: Zhang, Jiahao, et al.
Published: (2026)

PIDSMaker: Building and Evaluating Provenance-based Intrusion Detection Systems
by: Bilot, Tristan, et al.
Published: (2026)

Learning in Multiple Spaces: Few-Shot Network Attack Detection with Metric-Fused Prototypical Networks
by: Martinez-Lopez, Fernando, et al.
Published: (2024)