Federated and transfer learning-empowered intrusion detection for IoT applications

Y Otoum, V Chamola, A Nayak - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) can be described as a considerable number of sensors and
physical devices connected to different applications, supported with networking …

Hybrid deep learning model for attack detection in internet of things

H Rekha, M Siddappa - Service Oriented Computing and Applications, 2022 - Springer
Internet of things (IoT) provides a new application, which helps the existing networks
communicate with smart technologies. Things are now becoming increasingly connected to …

[引用][C] Effective learning-based attack detection methods for the Internet of Things

K Albulayhi, QA Al-Haija, FT Sheldon - Computing, 2022

[PDF][PDF] An unsupervised generative adversarial network based-host intrusion detection system for internet of things devices

I Idrissi, M Azizi, O Moussaoui - Indones. J. Electr. Eng. Comput. Sci, 2022 - academia.edu
Machine learning (ML) and deep learning (DL) have achieved amazing progress in diverse
disciplines. One of the most efficient approaches is unsupervised learning (UL), a sort of …

[PDF][PDF] Detecting Internet of Things Attacks Using Post Pruning Decision Tree-Synthetic Minority Over Sampling Technique.

MG Karthik, MB Krishnan - … Journal of Intelligent Engineering & Systems, 2021 - inass.org
In recent decades, the Internet of Things (IoT) is a growing technology in smart applications,
where it is highly susceptible to security breaches and the resources are constrained in …

Fedgroup: a federated learning approach for anomaly detection in iot environments

Y Zhang, B Suleiman, MJ Alibasa - International Conference on Mobile …, 2022 - Springer
The increasing adoption and use of IoT devices in smart home environments have raised
concerns around the data security or privacy of smart home users. Several studies employed …

Privacy-Aware Anomaly Detection in IoT Environments using FedGroup: A Group-Based Federated Learning Approach

Y Zhang, B Suleiman, MJ Alibasa, F Farid - Journal of Network and …, 2024 - Springer
The popularity of Internet of Things (IoT) devices in smart homes has raised significant
concerns regarding data security and privacy. Traditional machine learning (ML) methods …

DDoS Attack Detection in Edge-IIoT Network Using Ensemble Learning

F Laiq, F Al-Obeidat, A Amin… - Journal of Physics …, 2024 - iopscience.iop.org
As the number of IoT devices increases daily due to the rapid growth in technology, every
device and network is vulnerable to attacks because it is exposed to the internet. Denial of …

Multiattack intrusion detection algorithm for edge-assisted internet of things

D Wu, J Yan, H Wang, R Wang - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
With the continuous development of edge-assisted internet of things (IoT) applications, a
large number of computing tasks need to be offloaded into the edge servers. It is critical to …

Enhancing Network Security in IoT Using Machine Learning-Based Anomaly Detection

H Sharma, D Verma, A Rana, SL Chari… - … and Informatics (IC3I …, 2023 - ieeexplore.ieee.org
As the quick spread of Web of Things (IoT) gadgets has introduced another period of
association and simplicity, it has additionally given network security until recently incredible …