A novel deep learning-based intrusion detection system for IoT DDoS security-Reference-Cited by-同舟云学术

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A novel deep learning-based intrusion detection system for IoT DDoS security

Published:2024-12 Issue: Volume:28 Page:101336
ISSN:2542-6605
Container-title:Internet of Things
language:en
Short-container-title:Internet of Things

Author:

Hizal Selman^ORCID,Cavusoglu Unal^ORCID,Akgun Devrim^ORCID

Publisher

Elsevier BV

Reference49 articles.

1. Enhancing IoT network security through deep learning-powered intrusion detection system;Bakhsh;Internet Things,2023

2. Smart home anomaly-based IDS: Architecture proposal and case study;Lara;Internet Things,2023

3. CICIoT2023: A real-time dataset and benchmark for large-scale attacks in IoT environment;Neto;Sensors,2023

4. A comparative analysis of various machine learning methods for anomaly detection in cyber attacks on IoT networks;Inuwa;Internet Things,2024

5. A big data analytics for DDOS attack detection using optimized ensemble framework in Internet of Things;Ahmad;Internet Things,2023

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