Machine Learning based Intrusion Detection for Cyber-Security in IoT Networks
E3S Web Conf., 297 (2021) 01057
Published online: 2021-09-22
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
94 (2026)
https://doi.org/10.1007/978-3-032-10539-4_8
Analysis of machine learning-based approaches for securing the Internet of Things in the smart industry: a multivocal state of knowledge review
Ricardo Reyes-Acosta, Carlos Dominguez-Baez, Ricardo Mendoza-Gonzalez and Miguel Vargas MartinInternational Journal of Information Security 24 (1) (2025)
https://doi.org/10.1007/s10207-024-00935-8
446 (2025)
https://doi.org/10.1109/ICMLAS64557.2025.10967684
Robust machine learning based Intrusion detection system using simple statistical techniques in feature selection
Sunil Kaushik, Akashdeep Bhardwaj, Ahmad Almogren, Salil bharany, Ayman Altameem, Ateeq Ur Rehman, Seada Hussen and Habib HamamScientific Reports 15 (1) (2025)
https://doi.org/10.1038/s41598-025-88286-9
NIDD-enabled lightweight intrusion detection for effective DDoS mitigation in 5G and beyond
Iqra Javid, Sibaram Khara, Jaroslav Frnda, Shahbaz Ahmad Khanday, Niyaz Ahmad Wani, Jatin Bedi and Muhammad Shahid AnwarScientific Reports 15 (1) (2025)
https://doi.org/10.1038/s41598-025-26056-3
A comprehensive survey on intrusion detection in internet of medical things: Datasets, federated learning, blockchain, and future research directions
Syed Rizwan Hassan, Muhammad Usama Tanveer, Sunil Prajapat and Mohammad ShabazICT Express 11 (6) 1291 (2025)
https://doi.org/10.1016/j.icte.2025.11.005
1 (2024)
https://doi.org/10.1109/AKGEC62572.2024.10868830
1 (2024)
https://doi.org/10.1109/SSITCON62437.2024.10796451
Anomaly Detection IDS for Detecting DoS Attacks in IoT Networks Based on Machine Learning Algorithms
Esra Altulaihan, Mohammed Amin Almaiah and Ahmed AljughaimanSensors 24 (2) 713 (2024)
https://doi.org/10.3390/s24020713
Enhancing Network Anomaly Intrusion Detection with IoT Data-Driven BOA-CNN-BiGRU-AAM -Net Classification
Suresh G, Sathya M, Arthi D and Arulkumaran GJournal of Machine and Computing 785 (2024)
https://doi.org/10.53759/7669/jmc202404073
Anomaly-based intrusion detection system for IoT application
Mansi Bhavsar, Kaushik Roy, John Kelly and Odeyomi OlusolaDiscover Internet of Things 3 (1) (2023)
https://doi.org/10.1007/s43926-023-00034-5
Machine Learning-Based Detection for Unauthorized Access to IoT Devices
Malak Aljabri, Amal A. Alahmadi, Rami Mustafa A. Mohammad, et al.Journal of Sensor and Actuator Networks 12 (2) 27 (2023)
https://doi.org/10.3390/jsan12020027
Smart Applications and Data Analysis
Amine Khatib, Franck Dufrenois, Mohamed Hamlich and Denis HamadCommunications in Computer and Information Science, Smart Applications and Data Analysis 1677 34 (2022)
https://doi.org/10.1007/978-3-031-20490-6_4