SecEdge: A novel deep learning framework for real-time cybersecurity in mobile IoT environments

SecEdge: A novel deep learning framework for real-time cybersecurity in mobile IoT environments

The rapid growth of Internet of Things (IoT) devices presents significant cybersecurity challenges due to their diverse and resource-constrained nature. Existing security solutions often fall short in addressing the dynamic and distributed environments of IoT systems. This study aims to propose a no...

Full description

Saved in:
Bibliographic Details
Main Authors: Kamran Ahmad Awan, Ikram Ud Din, Ahmad Almogren, Ali Nawaz, Muhammad Yasar Khan, Ayman Altameem
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Heliyon
Subjects:
Deep learning
Cyber security
Mobile computing
Internet of things
Anamoly detection
Graph neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024169058
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S2405844024169058

Similar Items