A Smart Framework to Detect Threats and Protect Data of IoT Based on Machine Learning

A Smart Framework to Detect Threats and Protect Data of IoT Based on Machine Learning

The widespread use of IoT devices has introduced new challenges, particularly related to security and privacy threats such as unauthorized data access and device breaches. The high demand for these devices, coupled with the lack of strong security and privacy systems for user data, highlights the ne...

Full description

Saved in:
Bibliographic Details
Main Authors: Ahmad M. Almasabi, Maher Khemakhem, Fathy E. Eassa, Adnan Ahmed Abi Sen, Ahmad B. Alkhodre, Ahmed Harbaoui
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Internet of Things (IoT)
attacks
security
deep learning
fog computing
privacy
Online Access:https://ieeexplore.ieee.org/document/10752933/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10752933/

Similar Items