Cover Image

SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Vitorino, João, Praça, Isabel, Maia, Eva
Format:	Preprint
Published:	2023
Subjects:	Cryptography and Security Machine Learning Networking and Internet Architecture
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Efficient Network Traffic Feature Sets for IoT Intrusion Detection
by: Silva, Miguel, et al.
Published: (2024)

Reliable Feature Selection for Adversarially Robust Cyber-Attack Detection
by: Vitorino, João, et al.
Published: (2024)

Revisiting Network Traffic Analysis: Compatible network flows for ML models
by: Vitorino, João, et al.
Published: (2025)

SoK: Preconfirmations
by: Stouka, Aikaterini-Panagiota, et al.
Published: (2025)

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

SoK: Decoding the Enigma of Encrypted Network Traffic Classifiers
by: Wickramasinghe, Nimesha, et al.
Published: (2025)

SoK: A Data-driven View on Methods to Detect Reflective Amplification DDoS Attacks Using Honeypots
by: Nawrocki, Marcin, et al.
Published: (2023)

SoK: Evaluating 5G Protocols Against Legacy and Emerging Privacy and Security Attacks
by: Eleftherakis, Stavros, et al.
Published: (2024)

SoK: Secure Human-centered Wireless Sensing
by: Sun, Wei, et al.
Published: (2022)

Generative Active Adaptation for Drifting and Imbalanced Network Intrusion Detection
by: Gupta, Ragini, et al.
Published: (2025)

On the Cross-Dataset Generalization of Machine Learning for Network Intrusion Detection
by: Cantone, Marco, et al.
Published: (2024)

SoK: Securing the Final Frontier for Cybersecurity in Space-Based Infrastructure
by: Anjum, Nafisa, et al.
Published: (2025)

Temporal Analysis of NetFlow Datasets for Network Intrusion Detection Systems
by: Luay, Majed, et al.
Published: (2025)

Sequential Binary Classification for Intrusion Detection
by: Vasudevan, Shrihari, et al.
Published: (2024)

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

Intelligent Green Efficiency for Intrusion Detection
by: Pereira, Pedro, et al.
Published: (2024)

Hyperparameter Tuning-Based Optimized Performance Analysis of Machine Learning Algorithms for Network Intrusion Detection
by: Tripathy, Sudhanshu Sekhar, et al.
Published: (2025)

Sdn Intrusion Detection Using Machine Learning Method
by: Mahmud, Muhammad Zawad, et al.
Published: (2024)

Online Self-Supervised Deep Learning for Intrusion Detection Systems
by: Nakıp, Mert, et al.
Published: (2023)

Enhancing Anomaly-Based Intrusion Detection Systems with Process Mining
by: Vitale, Francesco, et al.
Published: (2026)

SoK: The Design Paradigm of Safe and Secure Defaults
by: Ruohonen, Jukka
Published: (2024)

Hybrid Deep Learning-Federated Learning Powered Intrusion Detection System for IoT/5G Advanced Edge Computing Network
by: Baidar, Rasil, et al.
Published: (2025)

UNAD+: An Explainable Hybrid Framework for Unknown Network Attack Detection
by: Alzubi, Saif, et al.
Published: (2026)

An Online Ensemble Learning Model for Detecting Attacks in Wireless Sensor Networks
by: Tabbaa, Hiba, et al.
Published: (2022)

Redefining DDoS Attack Detection Using A Dual-Space Prototypical Network-Based Approach
by: Martinez, Fernando, et al.
Published: (2024)

Developing a Transferable Federated Network Intrusion Detection System
by: Jameel, Abu Shafin Mohammad Mahdee, et al.
Published: (2025)

Machine Learning-Based Malicious Vehicle Detection for Security Threats and Attacks in Vehicle Ad-hoc Network (VANET) Communications
by: Canh, Thanh Nguyen, et al.
Published: (2024)

Attacks Against Mobility Prediction in 5G Networks
by: Atiiq, Syafiq Al, et al.
Published: (2024)

FetFIDS: A Feature Embedding Attention based Federated Network Intrusion Detection Algorithm
by: Ghosh, Shreya, et al.
Published: (2025)

A Novel Open Set Energy-based Flow Classifier for Network Intrusion Detection
by: Souza, Manuela M. C., et al.
Published: (2021)

Genos: General In-Network Unsupervised Intrusion Detection by Rule Extraction
by: Li, Ruoyu, et al.
Published: (2024)

Deciding When Not to Decide: Indeterminacy-Aware Intrusion Detection with NeutroSENSE
by: Al-Masri, Eyhab
Published: (2025)

Adversarial Attack and Defense for LoRa Device Identification and Authentication via Deep Learning
by: Sagduyu, Yalin E., et al.
Published: (2024)

RECTor: Robust and Efficient Correlation Attack on Tor
by: Wu, Binghui, et al.
Published: (2025)

LLM-based Continuous Intrusion Detection Framework for Next-Gen Networks
by: Adjewa, Frederic, et al.
Published: (2024)

Backdoor Attacks on Contrastive Continual Learning for IoT Systems
by: Tim, Alfous, et al.
Published: (2026)

Enhanced Real-Time Threat Detection in 5G Networks: A Self-Attention RNN Autoencoder Approach for Spectral Intrusion Analysis
by: Kouchaki, Mohammadreza, et al.
Published: (2024)

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

Dynamic Risk Assessment by Bayesian Attack Graphs and Process Mining
by: Vitale, Francesco, et al.
Published: (2026)