Unsupervised ensemble based deep learning approach for attack detection in IoT network

M Shahnawaz Ahmad… - … : Practice and Experience, 2022 - Wiley Online Library
Summary The Internet of Things (IoT) has altered living by controlling devices/things over
the Internet. IoT has specified many smart solutions for daily problems, transforming cyber …

Approach for detecting attacks on IoT networks based on ensemble feature selection and deep learning models

SDA Rihan, M Anbar, BA Alabsi - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) has transformed our interaction with technology and introduced
security challenges. The growing number of IoT attacks poses a significant threat to …

Intrusion detection in IoT networks using deep learning algorithm

B Susilo, RF Sari - Information, 2020 - mdpi.com
The internet has become an inseparable part of human life, and the number of devices
connected to the internet is increasing sharply. In particular, Internet of Things (IoT) devices …

Internet of things cyber attacks detection using machine learning

J Alsamiri, K Alsubhi - International Journal of Advanced …, 2019 - search.proquest.com
Abstract The Internet of Things (IoT) combines hundreds of millions of devices which are
capable of interaction with each other with minimum user interaction. IoT is one of the fastest …

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 …

[PDF][PDF] A hybrid deep learning-based intrusion detection system for IoT networks

NW Khan, MS Alshehri, MA Khan, S Almakdi… - Math. Biosci …, 2023 - aimspress.com
The Internet of Things (IoT) is a rapidly evolving technology with a wide range of potential
applications, but the security of IoT networks remains a major concern. The existing system …

RETRACTED ARTICLE: FSO-LSTM IDS: hybrid optimized and ensembled deep-learning network-based intrusion detection system for smart networks

AS Alqahtani - The Journal of Supercomputing, 2022 - Springer
Abstract The Internet of Things (IoT) has achieved exponential growth worldwide. Although
the IoT is used by millions of users, these networks are handicapped by attacks such as …

Lnkdsea: Machine learning based iot/iiot attack detection method

M Koppula, LJ LM - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
The Internet of Things (IoT) brings together more devices that can communicate with one
another while requiring little user input. IoT is one of the computer disciplines that is …

Attack detection in IoT using machine learning

M Anwer, SM Khan, MU Farooq - Engineering, Technology & Applied …, 2021 - etasr.com
Many researchers have examined the risks imposed by the Internet of Things (IoT) devices
on big companies and smart towns. Due to the high adoption of IoT, their character, inherent …

Cyber attack detection in IoT using deep learning techniques

K Tomar, K Bisht, K Joshi… - 2023 6th International …, 2023 - ieeexplore.ieee.org
The Internet of things (IoT) consists of millions of digital devices which interact with each
other through minimum user interaction. IoT is one of the most rapidly expanding computing …