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Explaining Network Intrusion Detection System Using Explainable AI
  Framework

Explaining Network Intrusion Detection System Using Explainable AI Framework

12 March 2021
Shraddha Mane
Dattaraj J. Rao
    AAML
ArXiv (abs)PDFHTML

Papers citing "Explaining Network Intrusion Detection System Using Explainable AI Framework"

12 / 12 papers shown
Evaluating explainable AI for deep learning-based network intrusion detection system alert classification
Evaluating explainable AI for deep learning-based network intrusion detection system alert classificationInternational Conference on Information Systems Security and Privacy (ICISSP), 2025
Rajesh Kalakoti
Risto Vaarandi
Hayretdin Bahsi
Sven Nõmm
AAML
212
13
0
09 Jun 2025
Inherently Interpretable and Uncertainty-Aware Models for Online
  Learning in Cyber-Security Problems
Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems
Benjamin Kolicic
Alberto Caron
Chris Hicks
V. Mavroudis
AI4CE
360
2
0
14 Nov 2024
An Approach To Enhance IoT Security In 6G Networks Through Explainable
  AI
An Approach To Enhance IoT Security In 6G Networks Through Explainable AI
Navneet Kaur
Lav Gupta
226
3
0
04 Oct 2024
An Adaptive End-to-End IoT Security Framework Using Explainable AI and
  LLMs
An Adaptive End-to-End IoT Security Framework Using Explainable AI and LLMsWorld Forum on Internet of Things (WF-IoT), 2024
S. Baral
Sajal Saha
Anwar Haque
132
20
0
20 Sep 2024
A Critical Assessment of Interpretable and Explainable Machine Learning
  for Intrusion Detection
A Critical Assessment of Interpretable and Explainable Machine Learning for Intrusion Detection
Omer Subasi
J. Cree
Joseph Manzano
Elena Peterson
AAML
347
8
0
04 Jul 2024
X-CBA: Explainability Aided CatBoosted Anomal-E for Intrusion Detection
  System
X-CBA: Explainability Aided CatBoosted Anomal-E for Intrusion Detection System
Kıymet Kaya
Elif Ak
Sumeyye Bas
B. Canberk
Ş. Öğüdücü
AAML
453
7
0
01 Feb 2024
FINER: Enhancing State-of-the-art Classifiers with Feature Attribution
  to Facilitate Security Analysis
FINER: Enhancing State-of-the-art Classifiers with Feature Attribution to Facilitate Security AnalysisConference on Computer and Communications Security (CCS), 2023
Yiling He
Jian Lou
Zhan Qin
Kui Ren
FAttAAML
257
18
0
10 Aug 2023
Explainable Artificial Intelligence and Cybersecurity: A Systematic
  Literature Review
Explainable Artificial Intelligence and Cybersecurity: A Systematic Literature Review
C. Mendes
T. N. Rios
213
18
0
27 Feb 2023
Detection, Explanation and Filtering of Cyber Attacks Combining Symbolic
  and Sub-Symbolic Methods
Detection, Explanation and Filtering of Cyber Attacks Combining Symbolic and Sub-Symbolic MethodsIEEE Symposium Series on Computational Intelligence (IEEE SSCI), 2022
Anna Himmelhuber
Dominik Dold
S. Grimm
Sonja Zillner
Thomas Runkler
AAML
257
10
0
23 Dec 2022
Explainable Artificial Intelligence Applications in Cyber Security:
  State-of-the-Art in Research
Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in ResearchIEEE Access (IEEE Access), 2022
Zhibo Zhang
H. A. Hamadi
Ernesto Damiani
C. Yeun
Fatma Taher
AAML
293
296
0
31 Aug 2022
XAI for Cybersecurity: State of the Art, Challenges, Open Issues and
  Future Directions
XAI for Cybersecurity: State of the Art, Challenges, Open Issues and Future Directions
Gautam Srivastava
Rutvij H. Jhaveri
S. Bhattacharya
Sharnil Pandya
Rajeswari
Praveen Kumar Reddy Maddikunta
Gokul Yenduri
Jon G. Hall
M. Alazab
Thippa Reddy Gadekallu
205
77
0
03 Jun 2022
Evaluating Standard Feature Sets Towards Increased Generalisability and
  Explainability of ML-based Network Intrusion Detection
Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-based Network Intrusion DetectionBig Data Research (BDR), 2021
Mohanad Sarhan
S. Layeghy
Marius Portmann
348
106
0
15 Apr 2021
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