SEHIDS: Self evolving host-based intrusion detection system for IoT networks

M Baz - Sensors, 2022 - mdpi.com
The Internet of Things (IoT) offers unprecedented opportunities to access anything from
anywhere and at any time. It is, therefore, not surprising that the IoT acts as a paramount …

IoT networks attacks detection using multi-novel features and extra tree random-voting ensemble classifier (ER-VEC)

A Sarwar, MF Mushtaq, U Akram, F Rustam… - Journal of Ambient …, 2023 - Springer
Internet usage is increasing day by day all over the world and as a result, technology is also
developing to make daily life appliances as smart as possible. Millions of devices are …

ROAST-IoT: a novel range-optimized attention convolutional scattered technique for intrusion detection in IoT networks

A Mahalingam, G Perumal, G Subburayalu, M Albathan… - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) has significantly benefited several businesses, but because of
the volume and complexity of IoT systems, there are also new security issues. Intrusion …

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 …

Fast attack detection method for imbalanced data in industrial cyber-physical systems

M Huang, T Li, B Li, N Zhang, H Huang - Journal of Artificial …, 2023 - sciendo.com
Integrating industrial cyber-physical systems (ICPSs) with modern information technologies
(5G, artificial intelligence, and big data analytics) has led to the development of industrial …

Parametric entropy based Cluster Centriod Initialization for k-means clustering of various Image datasets

F Hussayn, SM Shah - arXiv preprint arXiv:2308.07705, 2023 - arxiv.org
One of the most employed yet simple algorithm for cluster analysis is the k-means algorithm.
k-means has successfully witnessed its use in artificial intelligence, market segmentation …

Comparative Analysis of Recurrent Neural Network over Convolutional Neural Network in Predicting R2l Attack in IoT Devices with Improved Accuracy and F1 Score

IJB Reddy, SM Basha - 2023 6th International Conference on …, 2023 - ieeexplore.ieee.org
The main target of this study is to more accurately and efficiently predict the R2L attack on
IoT devices using Novel Recurrent Neural Network than Convolutional Neural Network …

Intelligent DDoS Attack Detection for IoT Network Scenario using NS3

SS Chaudhari, L Manjula, CS Muttur… - 2023 International …, 2023 - ieeexplore.ieee.org
IoT technology and IoT smart devices are being used widely in recent years. As the devices
and services are being developed with more sophisticated technologies, their security is a …

[PDF][PDF] IoBTSec-RPL: A Novel RPL Attack Detecting Mechanism Using Hybrid Deep Learning Over Battlefield IoT Environment

K Kowsalyadevi, NV Balaji - ijcna.org
The emerging digital world has recently utilized the massive power of the emerging Internet
of Things (IoT) technology that fuels the growth of many intelligent applications. The Internet …