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 …

Machine learning and deep learning in cyber security for IoT

S Velliangiri, KK Kasaraneni - ICDSMLA 2019: Proceedings of the 1st …, 2020 - Springer
Abstract The Internet of Things (IoT), which incorporates different devices into the networks
to give sophisticated and intellectual services, needs to ensure client security and deal with …

Machine learning approaches to IoT security: A systematic literature review

R Ahmad, I Alsmadi - Internet of Things, 2021 - Elsevier
With the continuous expansion and evolution of IoT applications, attacks on those IoT
applications continue to grow rapidly. In this systematic literature review (SLR) paper, our …

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 …

Internet of things: A survey on distributed attack detection using deep learning approach

S Nagtilak, S Rai, R Kale - Proceeding of International Conference on …, 2020 - Springer
Abstract The Internet of Things (IoT) is made up of large number of individuals, things, and
utilities having the potential to intermingle using every one and their surroundings. Due to …

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 …

A review of intrusion detection system in IoT with machine learning approach: current and future research

EP Nugroho, T Djatna, IS Sitanggang… - … on science in …, 2020 - ieeexplore.ieee.org
Internet of Things (IoT) devices with their network services are often vulnerable to attacks
because they are not designed for security. Especially with the rapid technological advances …

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 …

Implementation of intrusion detection system in the internet of things: A survey

S Zaman, H Tauqeer, W Ahmad… - 2020 IEEE 23rd …, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) is a precipitously evolving technology. In which interconnected
computing devices and sensors share data over the network to decipher different problems …

[HTML][HTML] A systematic review of data-driven attack detection trends in IoT

S Haque, F El-Moussa, N Komninos, R Muttukrishnan - Sensors, 2023 - mdpi.com
The Internet of Things is perhaps a concept that the world cannot be imagined without today,
having become intertwined in our everyday lives in the domestic, corporate and industrial …