Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems

17 June 2021

Papers citing "Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems"

30 / 30 papers shown

Title
A Review of the Duality of Adversarial Learning in Network Intrusion: Attacks and Countermeasures Shalini Saini Anitha Chennamaneni Babatunde Sawyerr AAML 79 0 0 18 Dec 2024
Introducing Perturb-ability Score (PS) to Enhance Robustness Against Problem-Space Evasion Adversarial Attacks on Flow-based ML-NIDS Mohamed elShehaby Ashraf Matrawy AAML 31 0 0 11 Sep 2024
PASA: Attack Agnostic Unsupervised Adversarial Detection using Prediction & Attribution Sensitivity Analysis Dipkamal Bhusal Md Tanvirul Alam M. K. Veerabhadran Michael Clifford Sara Rampazzi Nidhi Rastogi AAML 36 1 0 12 Apr 2024
Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Neural Networks Andrea Venturi Dario Stabili Mirco Marchetti AAML 24 1 0 18 Mar 2024
CARE: Ensemble Adversarial Robustness Evaluation Against Adaptive Attackers for Security Applications Hangsheng Zhang Jiqiang Liu Jinsong Dong AAML 21 1 0 20 Jan 2024
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection João Vitorino Isabel Praça Eva Maia AAML 28 22 0 13 Aug 2023
MLSMM: Machine Learning Security Maturity Model F. Jedrzejewski D. Fucci Oleksandr Adamov 24 0 0 28 Jun 2023
On the Resilience of Machine Learning-Based IDS for Automotive Networks Ivo Zenden Han Wang Alfonso Iacovazzi A. Vahidi R. Blom S. Raza AAML 16 5 0 26 Jun 2023
Adversarial Evasion Attacks Practicality in Networks: Testing the Impact of Dynamic Learning Mohamed el Shehaby Ashraf Matrawy AAML 19 7 0 08 Jun 2023
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection Giovanni Apruzzese P. Laskov J. Schneider 28 24 0 30 Apr 2023
Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review Hamza Kheddar Yassine Himeur A. Awad AI4CE 24 61 0 19 Apr 2023
A Survey on Malware Detection with Graph Representation Learning Tristan Bilot Nour El Madhoun Khaldoun Al Agha Anis Zouaoui AAML 13 20 0 28 Mar 2023
Review on the Feasibility of Adversarial Evasion Attacks and Defenses for Network Intrusion Detection Systems Islam Debicha Benjamin Cochez Tayeb Kenaza Thibault Debatty Jean-Michel Dricot Wim Mees AAML 18 4 0 13 Mar 2023
Adv-Bot: Realistic Adversarial Botnet Attacks against Network Intrusion Detection Systems Islam Debicha Benjamin Cochez Tayeb Kenaza Thibault Debatty Jean-Michel Dricot Wim Mees AAML 11 28 0 12 Mar 2023
Towards Adversarial Realism and Robust Learning for IoT Intrusion Detection and Classification João Vitorino Isabel Praça Eva Maia AAML 24 28 0 30 Jan 2023
Adversarial attacks and defenses on ML- and hardware-based IoT device fingerprinting and identification Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Gérome Bovet Gregorio Martínez Pérez AAML 27 17 0 30 Dec 2022
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice Giovanni Apruzzese Hyrum S. Anderson Savino Dambra D. Freeman Fabio Pierazzi Kevin A. Roundy AAML 27 75 0 29 Dec 2022
Mitigating Adversarial Gray-Box Attacks Against Phishing Detectors Giovanni Apruzzese V. S. Subrahmanian AAML 31 20 0 11 Dec 2022
TAD: Transfer Learning-based Multi-Adversarial Detection of Evasion Attacks against Network Intrusion Detection Systems Islam Debicha Richard Bauwens Thibault Debatty Jean-Michel Dricot Tayeb Kenaza Wim Mees AAML 16 40 0 27 Oct 2022
Multi-SpacePhish: Extending the Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning Ying Yuan Giovanni Apruzzese Mauro Conti AAML 19 19 0 24 Oct 2022
Attribute Inference Attacks in Online Multiplayer Video Games: a Case Study on Dota2 Pier Paolo Tricomi Lisa Facciolo Giovanni Apruzzese Mauro Conti 23 7 0 17 Oct 2022
Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples Giovanni Apruzzese Rodion Vladimirov A.T. Tastemirova P. Laskov AAML 26 15 0 04 Jul 2022
The Role of Machine Learning in Cybersecurity Giovanni Apruzzese P. Laskov Edgardo Montes de Oca Wissam Mallouli Luis Brdalo Rapa A. Grammatopoulos Fabio Di Franco 35 129 0 20 Jun 2022
Concept-based Adversarial Attacks: Tricking Humans and Classifiers Alike Johannes Schneider Giovanni Apruzzese AAML 11 8 0 18 Mar 2022
The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems Giovanni Apruzzese Luca Pajola Mauro Conti 30 53 0 09 Mar 2022
Adaptative Perturbation Patterns: Realistic Adversarial Learning for Robust Intrusion Detection João Vitorino Nuno Oliveira Isabel Praça AAML 14 28 0 08 Mar 2022
Adversarial Machine Learning In Network Intrusion Detection Domain: A Systematic Review Huda Ali Alatwi C. Morisset AAML 25 23 0 06 Dec 2021
Fixed Points in Cyber Space: Rethinking Optimal Evasion Attacks in the Age of AI-NIDS Christian Schroeder de Witt Yongchao Huang Philip H. S. Torr Martin Strohmeier AAML 25 2 0 23 Nov 2021
Exploring Robust Architectures for Deep Artificial Neural Networks Asim Waqas Ghulam Rasool Hamza Farooq N. Bouaynaya OOD AAML 24 14 0 30 Jun 2021
Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-based Network Intrusion Detection Mohanad Sarhan S. Layeghy Marius Portmann 18 60 0 15 Apr 2021