Cover Image

Toward Realistic Adversarial Attacks in IDS: A Novel Feasibility Metric for Transferability

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ennaji, Sabrine, Benkhelifa, Elhadj, Mancini, Luigi Vincenzo
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Behavior-Aware and Generalizable Defense Against Black-Box Adversarial Attacks for ML-Based IDS
by: Ennaji, Sabrine, et al.
Published: (2025)

Vulnerability Disclosure through Adaptive Black-Box Adversarial Attacks on NIDS
by: Ennaji, Sabrine, et al.
Published: (2025)

Adversarial Challenges in Network Intrusion Detection Systems: Research Insights and Future Prospects
by: Ennaji, Sabrine, et al.
Published: (2024)

SPECTRE: A Hybrid System for an Adaptative and Optimised Cyber Threats Detection, Response and Investigation in Volatile Memory
by: Syed, Arslan Tariq, et al.
Published: (2025)

StealthCup: Realistic, Multi-Stage, Evasion-Focused CTF for Benchmarking IDS
by: Kern, Manuel, et al.
Published: (2025)

Towards More Realistic Extraction Attacks: An Adversarial Perspective
by: More, Yash, et al.
Published: (2024)

Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics
by: Alquliti, Mohammed, et al.
Published: (2025)

Towards Improving IDS Using CTF Events
by: Kern, Manuel, et al.
Published: (2025)

Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization
by: Yang, Yulong, et al.
Published: (2023)

I can't recognize (yet): Delayed Rendering to Defeat Visual Phishing Detectors
by: Yuan, Ying, et al.
Published: (2026)

Extension of Spatial k-Anonymity: New Metrics for Assessing the Anonymity of Geomasked Data Considering Realistic Attack Scenarios
by: Cremer, Simon, et al.
Published: (2025)

Explainable and Transferable Adversarial Attack for ML-Based Network Intrusion Detectors
by: Zhang, Hangsheng, et al.
Published: (2024)

GPS-IDS: An Anomaly-based GPS Spoofing Attack Detection Framework for Autonomous Vehicles
by: Abrar, Murad Mehrab, et al.
Published: (2024)

Exploring the Robustness and Transferability of Patch-Based Adversarial Attacks in Quantized Neural Networks
by: Guesmi, Amira, et al.
Published: (2024)

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

A Novel Federated Learning-Based IDS for Enhancing UAVs Privacy and Security
by: Ceviz, Ozlem, et al.
Published: (2023)

Characterizing the Modification Space of Signature IDS Rules
by: Guide, Ryan, et al.
Published: (2024)

Evaluating False Alarm and Missing Attacks in CAN IDS
by: Hossain, Nirab, et al.
Published: (2026)

The Relationship Between Network Similarity and Transferability of Adversarial Attacks
by: Klause, Gerrit, et al.
Published: (2025)

AttackMate: Realistic Emulation and Automation of Cyber Attack Scenarios Across the Kill Chain
by: Landauer, Max, et al.
Published: (2026)

A Collaborative Intrusion Detection System Using Snort IDS Nodes
by: Davies, Tom, et al.
Published: (2025)

An Evaluation Framework for Network IDS/IPS Datasets: Leveraging MITRE ATT&CK and Industry Relevance Metrics
by: Tori, Adrita Rahman, et al.
Published: (2025)

Enhancing TinyML Security: Study of Adversarial Attack Transferability
by: Shah, Parin, et al.
Published: (2024)

Enhancing Adversarial Transferability with Adversarial Weight Tuning
by: Chen, Jiahao, et al.
Published: (2024)

Towards Imperceptible Adversarial Attacks for Time Series Classification with Local Perturbations and Frequency Analysis
by: Gu, Wenwei, et al.
Published: (2025)

Towards Privacy-Preserving Split Learning: Destabilizing Adversarial Inference and Reconstruction Attacks in the Cloud
by: Higgins, Griffin, et al.
Published: (2025)

A Survey on Adversarial Machine Learning for Code Data: Realistic Threats, Countermeasures, and Interpretations
by: Yang, Yulong, et al.
Published: (2024)

A Lightweight IDS for Early APT Detection Using a Novel Feature Selection Method
by: Shaker, Bassam Noori, et al.
Published: (2025)

GMA-SAWGAN-GP: A Novel Data Generative Framework to Enhance IDS Detection Performance
by: Mu, Ziyu, et al.
Published: (2026)

QML-IDS: Quantum Machine Learning Intrusion Detection System
by: Abreu, Diego, et al.
Published: (2024)

Predicting Tail-Risk Escalation in IDS Alert Time Series
by: Gurjar, Ambarish, et al.
Published: (2026)

On the Practical Feasibility of Harvest-Now, Decrypt-Later Attacks
by: Blanco-Romero, Javier, et al.
Published: (2026)

A Chaos Driven Metric for Backdoor Attack Detection
by: Surendrababu, Hema Karnam, et al.
Published: (2025)

A Unified Compositional View of Attack Tree Metrics
by: Peterseim, Benedikt, et al.
Published: (2025)

Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack
by: Xue, Jing, et al.
Published: (2025)

HPAC-IDS: A Hierarchical Packet Attention Convolution for Intrusion Detection System
by: Grini, Anass, et al.
Published: (2025)

Exploring and Enhancing Placement of IDS in RPL: A Federated Learning-based Approach
by: Yilmaz, Selim, et al.
Published: (2023)

A Novel Solution for Zero-Day Attack Detection in IDS using Self-Attention and Jensen-Shannon Divergence in WGAN-GP
by: Mu, Ziyu, et al.
Published: (2026)

Securing Federated Learning with Control-Flow Attestation: A Novel Framework for Enhanced Integrity and Resilience against Adversarial Attacks
by: Alsulaimawi, Zahir
Published: (2024)

Foe for Fraud: Transferable Adversarial Attacks in Credit Card Fraud Detection
by: Fok, Jan Lum, et al.
Published: (2025)