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Machine Learning Based Intrusion Detection Systems for IoT Applications

Machine Learning Based Intrusion Detection Systems for IoT Applications

24 February 2023
Abhishek Verma
V. Ranga
ArXiv (abs)PDFHTML

Papers citing "Machine Learning Based Intrusion Detection Systems for IoT Applications"

16 / 16 papers shown
Title
A Systematic Review of Metaheuristics-Based and Machine Learning-Driven Intrusion Detection Systems in IoT
A Systematic Review of Metaheuristics-Based and Machine Learning-Driven Intrusion Detection Systems in IoT
Mohammad Shamim Ahsan
Salekul Islam
Swakkhar Shatabda
24
0
0
31 May 2025
Visually Analyze SHAP Plots to Diagnose Misclassifications in ML-based
  Intrusion Detection
Visually Analyze SHAP Plots to Diagnose Misclassifications in ML-based Intrusion Detection
Maraz Mia
Mir Mehedi Ahsan Pritom
Tariqul Islam
Kamrul Hasan
AAML
65
0
0
04 Nov 2024
IoTGeM: Generalizable Models for Behaviour-Based IoT Attack Detection
IoTGeM: Generalizable Models for Behaviour-Based IoT Attack Detection
Kahraman Kostas
Mike Just
M. Lones
58
6
0
17 Oct 2023
Enhancing Trustworthiness in ML-Based Network Intrusion Detection with
  Uncertainty Quantification
Enhancing Trustworthiness in ML-Based Network Intrusion Detection with Uncertainty Quantification
Jacopo Talpini
Fabio Sartori
Marco Savi
51
4
0
05 Sep 2023
IIDS: Design of Intelligent Intrusion Detection System for
  Internet-of-Things Applications
IIDS: Design of Intelligent Intrusion Detection System for Internet-of-Things Applications
K. R. Narayan
Srijanee Mookherji
Vanga Odelu
R. Prasath
A. Turlapaty
A. Das
85
14
0
02 Aug 2023
Towards Adversarial Realism and Robust Learning for IoT Intrusion
  Detection and Classification
Towards Adversarial Realism and Robust Learning for IoT Intrusion Detection and Classification
João Vitorino
Isabel Praça
Eva Maia
AAML
99
28
0
30 Jan 2023
Machine and Deep Learning for IoT Security and Privacy: Applications,
  Challenges, and Future Directions
Machine and Deep Learning for IoT Security and Privacy: Applications, Challenges, and Future Directions
Subrato Bharati
Prajoy Podder
88
39
0
24 Oct 2022
On Specification-based Cyber-Attack Detection in Smart Grids
On Specification-based Cyber-Attack Detection in Smart Grids
Ömer Sen
Maik Lühman
Florian Sprünken
Immanuel Hacker
Andreas Ulbig
Michael Andres
Martin Henze
60
5
0
09 Sep 2022
Unsupervised Ensemble Based Deep Learning Approach for Attack Detection
  in IoT Network
Unsupervised Ensemble Based Deep Learning Approach for Attack Detection in IoT Network
Mir Shahnawaz Ahmed
S. M. Shah
28
15
0
16 Jul 2022
Machine Learning-Enabled IoT Security: Open Issues and Challenges Under
  Advanced Persistent Threats
Machine Learning-Enabled IoT Security: Open Issues and Challenges Under Advanced Persistent Threats
Zhiyan Chen
Jinxin Liu
Yuling Shen
Murat Simsek
B. Kantarci
Hussein T. Mouftah
P. Djukic
49
76
0
07 Apr 2022
Improving the Reliability of Network Intrusion Detection Systems through
  Dataset Integration
Improving the Reliability of Network Intrusion Detection Systems through Dataset Integration
Roberto Magán-Carrión
Daniel Urda
Ignacio Díaz-Cano
B. Dorronsoro
65
5
0
02 Dec 2021
A Comparative Analysis of Machine Learning Techniques for IoT Intrusion
  Detection
A Comparative Analysis of Machine Learning Techniques for IoT Intrusion Detection
João Vitorino
Rui Andrade
Isabel Praça
Orlando Sousa
Eva Maia
80
28
0
25 Nov 2021
Intrusion Detection using Network Traffic Profiling and Machine Learning
  for IoT
Intrusion Detection using Network Traffic Profiling and Machine Learning for IoT
Joseph R. Rose
Matt Swann
G. Bendiab
S. Shiaeles
N. Kolokotronis
13
29
0
06 Sep 2021
Machine Learning for Network-based Intrusion Detection Systems: an
  Analysis of the CIDDS-001 Dataset
Machine Learning for Network-based Intrusion Detection Systems: an Analysis of the CIDDS-001 Dataset
José Carneiro
Nuno Oliveira
Norberto Sousa
Eva Maia
Isabel Praça
25
14
0
02 Jul 2021
The Challenges and Opportunities of Human-Centered AI for Trustworthy
  Robots and Autonomous Systems
The Challenges and Opportunities of Human-Centered AI for Trustworthy Robots and Autonomous Systems
Hongmei He
J. Gray
Angelo Cangelosi
Q. Meng
T. McGinnity
J. Mehnen
52
36
0
07 May 2021
Building an Efficient Intrusion Detection System Based on Feature
  Selection and Ensemble Classifier
Building an Efficient Intrusion Detection System Based on Feature Selection and Ensemble Classifier
Yuyang Zhou
Guang Cheng
Shanqing Jiang
Mian Dai
67
355
0
02 Apr 2019
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