Static analysis of information systems for IoT cyber security: a survey of machine learning approaches

I Kotenko, K Izrailov, M Buinevich - Sensors, 2022 - mdpi.com
Ensuring security for modern IoT systems requires the use of complex methods to analyze
their software. One of the most in-demand methods that has repeatedly been proven to be …

A survey of DDoS attack detection techniques for IoT systems using Blockchain technology

ZA Khan, AS Namin - Electronics, 2022 - mdpi.com
The Internet of Things (IoT) is a network of sensors that helps collect data 24/7 without
human intervention. However, the network may suffer from problems such as the low battery …

A big data analytics for DDOS attack detection using optimized ensemble framework in Internet of Things

I Ahmad, Z Wan, A Ahmad - Internet of Things, 2023 - Elsevier
Abstract Internet of Things (IoT) devices significantly threaten tech-dependant businesses
and communities. With the rapid integration of IoT devices into local networks, a system to …

Evaluating deep learning variants for cyber-attacks detection and multi-class classification in IoT networks

S Abbas, I Bouazzi, S Ojo, A Al Hejaili… - PeerJ Computer …, 2024 - peerj.com
Abstract The Internet of Things (IoT), considered an intriguing technology with substantial
potential for tackling many societal concerns, has been developing into a significant …

A Comprehensive Analysis of Machine Learning and Deep Learning Approaches towards IoT Security

VS Desanamukula, MA Priyadarshini… - … on Electronics and …, 2023 - ieeexplore.ieee.org
Through the IoT, millions of smart devices may be networked together and set to
automatically exchange information with one another. By 2022, the number of connected …

Survey on the application of deep learning in the Internet of Things

S Shadroo, AM Rahmani, A Rezaee - Telecommunication Systems, 2022 - Springer
Abstract The Internet of Things (IoT) is a network of physical instruments, software, and
sensors connected to the Internet. The IoT produces massive data, where this enormous …

Securing internet of things using machine and deep learning methods: a survey

A Ghaffari, N Jelodari, S pouralish, N derakhshanfard… - Cluster …, 2024 - Springer
Abstract The Internet of Things (IoT) is a vast network of devices with sensors or actuators
connected through wired or wireless networks. It has a transformative effect on integrating …

[PDF][PDF] Cyber security: performance analysis and challenges for cyber attacks detection

AA Salih, MB Abdulrazzaq - Indonesian Journal of Electrical …, 2023 - academia.edu
Nowadays, with the occurrence of new attacks and raised challenges have been facing the
security of computer systems. Cyber security techniques have become essential for …

A robust pca feature selection to assist deep clustering autoencoder-based network anomaly detection

VQ Nguyen, VH Nguyen, NA Le Khac… - 2021 8th nafosted …, 2021 - ieeexplore.ieee.org
This paper presents a novel method to enhance the performance of Clustering-based
Autoencoder models for network anomaly detection. Previous studies have developed …

Attack and Anomaly Detection in IIoT Networks Using Machine Learning Techniques

P Kumar, I Banerjee - 2023 14th International Conference on …, 2023 - ieeexplore.ieee.org
Sensor-driven edge devices, known as things, connect with control systems like intelligent
machines and analytic applications, making a network known as the Industrial Internet of …