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2106.09380
Cited By
Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems
17 June 2021
Giovanni Apruzzese
M. Andreolini
Luca Ferretti
Mirco Marchetti
M. Colajanni
AAML
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Papers citing
"Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems"
31 / 31 papers shown
A Review of the Duality of Adversarial Learning in Network Intrusion: Attacks and Countermeasures
Shalini Saini
Anitha Chennamaneni
Babatunde Sawyerr
AAML
278
3
0
18 Dec 2024
Adversarial Challenges in Network Intrusion Detection Systems: Research Insights and Future Prospects
IEEE Access (IEEE Access), 2024
Sabrine Ennaji
Fabio De Gaspari
Dorjan Hitaj
Alicia Kbidi
Luigi V. Mancini
AAML
495
14
0
27 Sep 2024
A Novel Perturb-ability Score to Mitigate Evasion Adversarial Attacks on Flow-Based ML-NIDS
Mohamed elShehaby
Ashraf Matrawy
AAML
456
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
227
5
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
221
2
0
18 Mar 2024
CARE: Ensemble Adversarial Robustness Evaluation Against Adaptive Attackers for Security Applications
Hangsheng Zhang
Jiqiang Liu
Jinsong Dong
AAML
249
1
0
20 Jan 2024
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection
Computers & security (Comput. Secur.), 2023
João Vitorino
Isabel Praça
Eva Maia
AAML
213
30
0
13 Aug 2023
MLSMM: Machine Learning Security Maturity Model
F. Jedrzejewski
D. Fucci
Oleksandr Adamov
162
1
0
28 Jun 2023
On the Resilience of Machine Learning-Based IDS for Automotive Networks
IEEE Vehicular Networking Conference (VNC), 2023
Ivo Zenden
Han Wang
Alfonso Iacovazzi
A. Vahidi
R. Blom
S. Raza
AAML
137
8
0
26 Jun 2023
SoK: Adversarial Evasion Attacks Practicality in NIDS Domain and the Impact of Dynamic Learning
Mohamed el Shehaby
Ashraf Matrawy
AAML
377
8
0
08 Jun 2023
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection
European Symposium on Security and Privacy (Euro S&P), 2023
Giovanni Apruzzese
Pavel Laskov
J. Schneider
252
42
0
30 Apr 2023
Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review
Journal of Network and Computer Applications (JNCA), 2023
Hamza Kheddar
Yassine Himeur
A. Awad
AI4CE
187
92
0
19 Apr 2023
A Survey on Malware Detection with Graph Representation Learning
ACM Computing Surveys (ACM Comput. Surv.), 2023
Tristan Bilot
Nour El Madhoun
Khaldoun Al Agha
Anis Zouaoui
AAML
257
54
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
175
8
0
13 Mar 2023
Adv-Bot: Realistic Adversarial Botnet Attacks against Network Intrusion Detection Systems
Computers & security (Comput. Secur.), 2023
Islam Debicha
Benjamin Cochez
Tayeb Kenaza
Thibault Debatty
Jean-Michel Dricot
Wim Mees
AAML
163
54
0
12 Mar 2023
Towards Adversarial Realism and Robust Learning for IoT Intrusion Detection and Classification
João Vitorino
Isabel Praça
Eva Maia
AAML
324
32
0
30 Jan 2023
Adversarial attacks and defenses on ML- and hardware-based IoT device fingerprinting and identification
Future generations computer systems (FGCS), 2022
Pedro Miguel Sánchez Sánchez
Alberto Huertas Celdrán
Gérome Bovet
Gregorio Martínez Pérez
AAML
249
31
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
296
106
0
29 Dec 2022
Mitigating Adversarial Gray-Box Attacks Against Phishing Detectors
IEEE Transactions on Dependable and Secure Computing (TDSC), 2022
Giovanni Apruzzese
V. S. Subrahmanian
AAML
161
27
0
11 Dec 2022
TAD: Transfer Learning-based Multi-Adversarial Detection of Evasion Attacks against Network Intrusion Detection Systems
Future generations computer systems (FGCS), 2022
Islam Debicha
Richard Bauwens
Thibault Debatty
Jean-Michel Dricot
Tayeb Kenaza
Wim Mees
AAML
192
56
0
27 Oct 2022
Multi-SpacePhish: Extending the Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning
Asia-Pacific Computer Systems Architecture Conference (ACSA), 2022
Ying Yuan
Giovanni Apruzzese
Mauro Conti
AAML
335
27
0
24 Oct 2022
Attribute Inference Attacks in Online Multiplayer Video Games: a Case Study on Dota2
Conference on Data and Application Security and Privacy (CODASPY), 2022
Pier Paolo Tricomi
Lisa Facciolo
Giovanni Apruzzese
Mauro Conti
272
9
0
17 Oct 2022
Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples
IEEE Transactions on Network and Service Management (IEEE TNSM), 2022
Giovanni Apruzzese
Rodion Vladimirov
A.T. Tastemirova
Pavel Laskov
AAML
239
18
0
04 Jul 2022
The Role of Machine Learning in Cybersecurity
Giovanni Apruzzese
Pavel Laskov
Edgardo Montes de Oca
Wissam Mallouli
Luis Brdalo Rapa
A. Grammatopoulos
Fabio Di Franco
232
191
0
20 Jun 2022
Concept-based Adversarial Attacks: Tricking Humans and Classifiers Alike
Johannes Schneider
Giovanni Apruzzese
AAML
288
11
0
18 Mar 2022
The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems
IEEE Transactions on Network and Service Management (IEEE TNSM), 2022
Giovanni Apruzzese
Luca Pajola
Mauro Conti
227
76
0
09 Mar 2022
Adaptative Perturbation Patterns: Realistic Adversarial Learning for Robust Intrusion Detection
Future Internet (FI), 2022
João Vitorino
Nuno Oliveira
Isabel Praça
AAML
154
41
0
08 Mar 2022
Adversarial Machine Learning In Network Intrusion Detection Domain: A Systematic Review
Huda Ali Alatwi
C. Morisset
AAML
251
27
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
Juil Sock
Martin Strohmeier
AAML
183
3
0
23 Nov 2021
Exploring Robust Architectures for Deep Artificial Neural Networks
Communications Engineer (CE), 2021
Asim Waqas
Ghulam Rasool
Hamza Farooq
N. Bouaynaya
OOD
AAML
232
17
0
30 Jun 2021
Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-based Network Intrusion Detection
Big Data Research (BDR), 2021
Mohanad Sarhan
S. Layeghy
Marius Portmann
252
97
0
15 Apr 2021
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