[PDF][PDF] Anomaly detection for internet of things security attacks based on recent optimal federated deep learning model

R Udayakumar, M Anuradha, YM Gajmal… - J Internet Services Inform …, 2023 - jisis.org
Abstract The mushrooming of IoTs (Internet of Things) and decentralised paradigm in cyber
security have attracted a lot of interest from the government, academic, and business sectors …

Federated-learning-based anomaly detection for IoT security attacks

V Mothukuri, P Khare, RM Parizi… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is made up of billions of physical devices connected to the
Internet via networks that perform tasks independently with less human intervention. Such …

Federated deep learning for anomaly detection in the internet of things

X Wang, Y Wang, Z Javaheri, L Almutairi… - Computers and …, 2023 - Elsevier
Privacy has emerged as a top worry as a result of the development of zero-day hacks
because IoT devices produce and transmit sensitive information through the regular internet …

[HTML][HTML] Federated learning-inspired technique for attack classification in IoT networks

TA Ahanger, A Aldaej, M Atiquzzaman, I Ullah… - Mathematics, 2022 - mdpi.com
More than 10-billion physical items are being linked to the internet to conduct activities more
independently and with less human involvement owing to the Internet of Things (IoT) …

Anomaly-based detection technique using deep learning for Internet of Things: A Survey

H Ismaeel, W Elmedany - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Cyber-attacks are increasing dramatically and becoming an inevitable threat which is
challenging to eliminate. These attacks include broad range of internal intrusions and …

Anomaly Detection at the Edge implementing Machine Learning Techniques

G El Baltaji - 2022 - webthesis.biblio.polito.it
The Internet of Things (IoT) refers to the process of connecting physical objects to the
internet. This includes household appliances, healthcare assets like medical devices, smart …

Shrink AutoEncoder for Federated Learning-based IoT Anomaly Detection

TA Vu, TP Tran, L Vu… - 2022 9th NAFOSTED …, 2022 - ieeexplore.ieee.org
Federated Learning (FL)-based anomaly detection is a promising framework for Internet of
Things (IoT) security. Due to the scarcity of abnormal data, unsupervised deep learning …

A lightweight mini-batch federated learning approach for attack detection in IoT

MS Ahmad, SM Shah - Internet of Things, 2024 - Elsevier
Abstract The Internet of Things (IoT) has recently gained importance in many fields. The use
of IoT in different fields leads to an increase in a wide variety of network attacks. Many …

Gradient scaling and segmented SoftMax Regression Federated Learning (GDS-SRFFL): a novel methodology for attack detection in industrial internet of things (IIoT) …

VA Rajasekaran, A Indirajithu, P Jayalakshmi… - The Journal of …, 2024 - Springer
Industrial internet of things (IIoT) is considered as large-scale IoT-based network comprising
of sensors, communication channels, and security protocols used in Industry 4.0 for diverse …

Attack Detection in IoT-Based Healthcare Networks Using Hybrid Federated Learning

M Itani, H Basheer, F Eddine - 2023 International Conference …, 2023 - ieeexplore.ieee.org
Cybercrimes are increasing rapidly throughout the world, leading to financial losses and
compromising the integrity and confidentiality of private data. Statistics showed that …