[PDF][PDF] Using machine learning to build a classification model for iot networks to detect attack signatures

M Al-Akhras, M Alawairdhi, A Alkoudari… - Int. J. Comput. Netw …, 2020 - academia.edu
Internet of things (IoT) has led to several security threats and challenges within society.
Regardless of the benefits that it has brought with it to the society, IoT could compromise the …

Machine learning based network intrusion detection system for internet of things cybersecurity

PS Molcer, A Pejić, K Gulači, R Szalma - Security-Related Advanced …, 2022 - Springer
The rapid expansion of the IoT devices and the vulnerability of the IoT systems are urging for
investigating threats, improving existing security solutions and adopting new technologies …

Use of machine learning for securing IoT

A Singh - 2020 - era.library.ualberta.ca
IoT comprises of cyber-physical devices connected through the internet. These devices carry
sensitive data and support critical services. Due to the sensitivity of user data shared across …

Classification of intrusions in RPL-based IoT networks: a comparison

PS Nandhini, S Kuppuswami, S Malliga - Mobile Computing and …, 2022 - Springer
Internet of things is a group of objects or devices that establish communication through
Internet. Since, the communication is through Internet, more processing power is required in …

A Multi-class Classification for Detection of IoT Network Attacks Using Machine Learning Models

G Ashok, K Serath, T Gireesh Kumar - International Conference on …, 2024 - Springer
The adoption of IoT devices is growing due to their versatility and simplicity. The number of
security risks associated with these devices has increased as a result of their increased …

Enhancing the Security of Iot Service Using Sem Model Based Machine Learning Technique

N Panneerselvam, S Krithiga - 2023 Intelligent Computing and …, 2023 - ieeexplore.ieee.org
IoT platforms have been evolved over the last decade into a worldwide behemoth that is
grabbing every part of our everyday lives by expanding human existence with its …

Intrusion detection system in internet of things networks using machine learning techniques

MBM Al-Doori - 2023 - openaccess.altinbas.edu.tr
The Internet of Things (IoT) plays a crucial role in numerous industries, such as
transportation and healthcare logistics tracking, owing to its decentralized network of nodes …

A New Design for Protecting Cyber-Attacks and Harmful Threats in IoT Communication Network with Efficient Deep Learning-Based Detection System

S Dhinakaran, V Bansal, K Pant… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Fast progress in both smart devices with limited resources and state-of-the-art
communication methods have helped establish the Internet of Things (IoT) as the gold …

Feature Selection Using Firefly Algorithm for Classification of Attacks in Routing Protocol for Low Power Lossy Networks (LLNs) Based Internet of Things (IoT) …

PS Nandhini, S Bharani, M Harish… - … on Smart Electronics …, 2023 - ieeexplore.ieee.org
IoT (Internet of Things) is a collection of diverse resource-constrained things or nodes. All
the IoT devices used to collect and share data are connected through Internet. Since all the …

Internet of Things (IoTs) security: Intrusion detection using deep learning

OK Sahingoz, U Cekmez… - Journal of Web …, 2021 - ieeexplore.ieee.org
With the development of sensor and communication technologies, the use of connected
devices in industrial applications has been common for a long time. Reduction of costs …