Intelligent self-reliant cyber-attacks detection and classification system for IoT communication using deep convolutional neural network

QA Al-Haija, CD McCurry, S Zein-Sabatto - Selected Papers from the 12th …, 2021 - Springer
Abstract Internet of Things (IoT) is a promising profound technology with tremendous
expansion and effect. However, IoT infrastructures are vulnerable to cyber-attacks due to the …

Optimally configured deep convolutional neural network for attack detection in internet of things: impact of algorithm of the innovative gunner

SK Sarma - Wireless Personal Communications, 2021 - Springer
Nowadays, the internet of things (IoT) has gained significant research attention. It is
becoming critically imperative to protect IoT devices against cyberattacks with the …

[HTML][HTML] An efficient deep-learning-based detection and classification system for cyber-attacks in IoT communication networks

Q Abu Al-Haija, S Zein-Sabatto - Electronics, 2020 - mdpi.com
With the rapid expansion of intelligent resource-constrained devices and high-speed
communication technologies, the Internet of Things (IoT) has earned wide recognition as the …

[HTML][HTML] Hybrid intelligent intrusion detection system for internet of things

S Jain, PM Pawar, R Muthalagu - Telematics and Informatics Reports, 2022 - Elsevier
Abstract The Internet of Things (IoT) has become one of the dynamic and fascinating fields of
research with new technology emerging. This can be explained by the ever-rising …

Detecting security and privacy attacks in iot network using deep learning algorithms

DR Janardhana, VP Kumar… - … Electrical Circuits and …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is the 21st century's fastest-growing technology. Nearly by the
end of 2025, 75 billion IoT devices will be get connected to the internet. As a result …

Dynamic distributed generative adversarial network for intrusion detection system over internet of things

S Balaji, SS Narayanan - Wireless Networks, 2023 - Springer
Abstract The Internet of Things (IoT) intelligently facilitates individuals interacting with the
real-world applications which forms smart environment through internet connectivity at …

[HTML][HTML] A review of intrusion detection systems using machine and deep learning in internet of things: Challenges, solutions and future directions

J Asharf, N Moustafa, H Khurshid, E Debie, W Haider… - Electronics, 2020 - mdpi.com
The Internet of Things (IoT) is poised to impact several aspects of our lives with its fast
proliferation in many areas such as wearable devices, smart sensors and home appliances …

A survey on attack detection methods for iot using machine learning and deep learning

MR Babu, KN Veena - 2021 3rd International conference on …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) models are getting more complicated day by day with the rising
demand in IoT automated network system. As the devices use wireless medium for …

Investigation of machine learning techniques in intrusion detection system for IoT network

SSS Sugi, SR Ratna - 2020 3rd international conference on …, 2020 - ieeexplore.ieee.org
Internet of Things (IoT) combines the internet and physical objects to transfer information
among the objects. In the emerging IoT networks, providing security is the major issue. IoT …

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 …