IoT Network Anomaly Detection in Smart Homes Using Machine Learning
In this modern age of technology, the Internet of Things has covered all aspects of life including smart situations, smart homes, and smart spaces. Smart homes have a large number of IoT objects that are working continuously without any interruption. Better security and authentication of these smart...
Saved in:
Main Authors: | Nadeem Sarwar, Imran Sarwar Bajwa, Muhammad Zunnurain Hussain, Muhammad Ibrahim, Khizra Saleem |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10287977/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Secure IoT data dissemination with blockchain and transfer learning techniques
by: Pooja Anand, et al.
Published: (2025-01-01) -
Collaboration of IoT devices in smart home scenarios: algorithm research based on graph neural networks and federated learning
by: Yuanquan Zhong
Published: (2025-01-01) -
Application of IoT and blockchain technology in the integration of innovation and industrial chains in high-tech manufacturing
by: Zepei Li, et al.
Published: (2025-04-01) -
Anomaly detection and location of malicious node for IoT based on smart contract in blockchain network
by: Haojie HUANG, et al.
Published: (2020-06-01) -
Advancing hospital healthcare: achieving IoT-based secure health monitoring through multilayer machine learning
by: Ke Qi
Published: (2025-01-01)