Deep learning for cyber threat detection in IoT networks: A review
The Internet of Things (IoT) has revolutionized modern tech with interconnected smart devices. While these innovations offer unprecedented opportunities, they also introduce complex security challenges. Cybersecurity is a pivotal concern for intrusion detection systems (IDS). Deep Learning has shown...
Saved in:
Main Authors: | Alyazia Aldhaheri, Fatima Alwahedi, Mohamed Amine Ferrag, Ammar Battah |
---|---|
Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2024-01-01
|
Series: | Internet of Things and Cyber-Physical Systems |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2667345223000512 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Machine learning techniques for IoT security: Current research and future vision with generative AI and large language models
by: Fatima Alwahedi, et al.
Published: (2024-01-01) -
Deep Learning-Based Intrusion Detection System for Detecting IoT Botnet Attacks: A Review
by: Tamara Al-Shurbaji, et al.
Published: (2025-01-01) -
A Comparative Study of Anomaly Detection Techniques for IoT Security Using Adaptive Machine Learning for IoT Threats
by: Dheyaaldin Alsalman
Published: (2024-01-01) -
Multi-objective optimization algorithms for intrusion detection in IoT networks: A systematic review
by: Shubhkirti Sharma, et al.
Published: (2024-01-01) -
An Enhanced LSTM Approach for Detecting IoT-Based DDoS Attacks Using Honeypot Data
by: Arjun Kumar Bose Arnob, et al.
Published: (2025-02-01)