Supervised machine learning approaches for attack detection in the IoT network

MS Ahmad, SM Shah - Internet of Things and Its Applications: Select …, 2022 - Springer
In recent years, the Internet of Things (IoT) has emerged to be one of the vital fields with a
vast application domain. IoT network brings heterogeneous devices closer to each other …

Network attack detection in IoT using artificial intelligence

MJ Gul, MKRR Syed - 2023 International Multi-disciplinary …, 2023 - ieeexplore.ieee.org
We like to have simple and automated solutions, but these simple and automated solutions
in technology could also contains risks if not deal properly. Due to no international standard …

Detecting Malicious IoT Traffic using Supervised Machine Learning Algorithms

H Fowdur, S Armoogum, G Suddul… - 2022 IEEE Zooming …, 2022 - ieeexplore.ieee.org
IoT comprises of devices connected to each other through the internet. Such IoT networks
are now becoming easy prey for attackers. The attacks conducted can however be detected …

Traffic data extraction and labeling for machine learning based attack detection in IoT networks

H Gebrye, Y Wang, F Li - International Journal of Machine Learning and …, 2023 - Springer
The fast expansion of the Internet of Things (IoT) networks raises the possibility of further
network threats. In today's world, network traffic analysis has become an increasingly critical …

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 …

An Efficient Feature Extraction Method for Attack Classification in IoT Networks

PH Do, TD Dinh, DT Le, L Myrova… - … Congress on Ultra …, 2021 - ieeexplore.ieee.org
Numerous attacks on the Internet of Things (IoTs) necessitate detection and prevention
technologies, such as Intrusion Detection Systems (IDSs). Anomaly detection is a time …

[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 …

Experimental analysis of classification for different internet of things (IoT) network attacks using machine learning and deep learning

A Tasnim, N Hossain, N Parvin… - … on Decision Aid …, 2022 - ieeexplore.ieee.org
The internet of things is one of today's most revolutionary technologies. Because of its
pervasiveness, increasing network connection capacity, and diversity of linked items, the …

An intelligent intrusion detection system for internet of things attack detection and identification using machine learning

TS Othman, SM Abdullah - aro-the scientific journal of …, 2023 - eprints.koyauniversity.org
The usability and scalability of Internet of things (IoT) technology are expanding in such a
way that they facilitate human living standards. However, they increase the vulnerabilities …

[PDF][PDF] Attack classification analysis of IoT network via deep learning approach

BA Tama, KH Rhee - Research Briefs on Information and …, 2017 - rebicte.org
Attack Classification Analysis of IoT Network via Deep Learning Approach Page 1 Attack
Classification Analysis of IoT Network via Deep Learning Approach Bayu Adhi Tama and …