A Comparison of Enhanced Ensemble Learning Techniques for Internet of Things Network Attack Detection

E Ismanto, J Al Amien, V Vitriani - MATRIK: Jurnal …, 2024 - journal.universitasbumigora.ac.id
Over the past few decades, the Internet of Things (IoT) has become increasingly significant
due to its capacity to enable low-cost device and sensor communication. Implementation …

[PDF][PDF] CL2ES-KDBC: A Novel Covariance Embedded Selection Based on Kernel Distributed Bayes Classifier for Detection of Cyber-Attacks in IoT Systems.

T Albalawi, P Ganeshkumar - Computers, Materials & Continua, 2024 - cdn.techscience.cn
ABSTRACT The Internet of Things (IoT) is a growing technology that allows the sharing of
data with other devices across wireless networks. Specifically, IoT systems are vulnerable to …

A Smart Framework to Detect Threats and Protect Data of IoT based on Machine Learning

AM Almasabi, M Khemakhem, F Eassa… - IEEE …, 2024 - ieeexplore.ieee.org
The widespread use of IoT devices has introduced new challenges, particularly related to
security and privacy threats such as unauthorized data access and device breaches. The …

Enhancing IoT Security through an Artificial Neural Network Approach

A Sanmorino, R Gustriansyah… - … on Internet of Things, 2024 - publications.eai.eu
This study aims to fortify Internet of Things (IoT) security through the strategic implementation
of Artificial Neural Networks (ANNs). With the rapid expansion of IoT devices, traditional …

Suggested Cyber-Security Strategy That Maximizes Automated Detection of Internet of Things Attacks Using Machine Learning

D Dhabliya, P Pandey, V Agarwal, N Gobi… - … , and Applications of …, 2024 - igi-global.com
The world is experiencing an unparalleled digital revolution because of the advancement of
computer systems and the internet. This change is made even more noticeable by the fact …

SmartDefend-IoT Security Using Machine Learning

YM Saumya, P Vinay, C Pinto… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
With the advent of the fourth industrial revolution in recent years, technological
advancements have led to massive exponential growth in the Internet of Things (loTs), fog …

Secure IoT-Based Classroom

M Kurni, S KG - The Internet of Educational Things: Enhancing …, 2024 - Springer
This detailed chapter explores how Internet of Things (IoT) technology is used in educational
settings, focusing on topics like security, best practices for implementation, real-life …

Advancements and Challenges in the Intersection of Machine Learning and IoT Security

S Chithaluri - 2024 - search.proquest.com
The proliferation of IoT devices in various sectors, such as healthcare, industrial systems,
and residential areas, presents unique security vulnerabilities that conventional security …

Trends in the Applications of Soft Computing Techniques for IoT

K Qaddoum, NN El-Emam - … and Integration for Real-Time Service …, 2024 - taylorfrancis.com
Soft computing is applied for a multidisciplinary system that includes neural networks (NN),
fuzzy logic, and evolutionary computing techniques such as genetic algorithm (GA), genetic …

[PDF][PDF] A Design of Improved Trust-based Clustering Approach to Enhance the Energy Computation in Secured Internet of Things (IoT)

S Kamble, S Mahajan, DD Sapkal, K Ramteke - researchgate.net
The Internet of Things (IoT) is the trending area that occupies maximum of the applications of
intelligent communication. The nodes in the IoT system are located in the monitoring …