Privacy-preserving approach for IoT networks using statistical learning with optimization algorithm on high-dimensional big data environment
Abstract In the present digital scenario, the explosion of Internet of Things (IoT) devices makes massive volumes of high-dimensional data, presenting significant data and privacy security challenges. As IoT networks enlarge, certifying sensitive data privacy while still employing data analytics aut...
Saved in:
Main Authors: | Fatma S. Alrayes, Mohammed Maray, Asma Alshuhail, Khaled Mohamad Almustafa, Abdulbasit A. Darem, Ali M. Al-Sharafi, Shoayee Dlaim Alotaibi |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-025-87454-1 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Blockchain-Enabled Zero Trust Architecture for Privacy-Preserving Cybersecurity in IoT Environments
by: Mohammed A. Aleisa
Published: (2025-01-01) -
Advanced artificial intelligence with federated learning framework for privacy-preserving cyberthreat detection in IoT-assisted sustainable smart cities
by: Mahmoud Ragab, et al.
Published: (2025-02-01) -
AFM-DViT: A framework for IoT-driven medical image analysis
by: Jiacheng Yang
Published: (2025-02-01) -
A Framework for Privacy-Preserving in IoV Using Federated Learning With Differential Privacy
by: Muhammad Adnan, et al.
Published: (2025-01-01) -
Towards Privacy in Decentralized IoT: A Blockchain-Based Dual Response DP Mechanism
by: Kai Zhang, et al.
Published: (2024-09-01)