Towards a deep learning-driven intrusion detection approach for Internet of Things

M Ge, NF Syed, X Fu, Z Baig, A Robles-Kelly - Computer Networks, 2021 - Elsevier
Abstract Internet of Things (IoT) as a paradigm comes with a range of benefits to humanity.
Domains of research for the IoT range from healthcare automation to energy and transport …

A deep learning approach for intrusion detection in Internet of Things using focal loss function

AS Dina, AB Siddique, D Manivannan - Internet of Things, 2023 - Elsevier
Abstract Internet of Things (IoT) is likely to revolutionize healthcare, energy, education,
transportation, manufacturing, military, agriculture, and other industries. However, for the …

Intrusion detection system for Internet of Things based on a machine learning approach

C Liang, B Shanmugam, S Azam… - … on Vision Towards …, 2019 - ieeexplore.ieee.org
With the application of Internet of Things technology to every aspect of life, the potential
damage caused by Internet of things attacks is more serious than for traditional network …

A new intrusion detection system for the internet of things via deep convolutional neural network and feature engineering

S Ullah, J Ahmad, MA Khan, EH Alkhammash… - Sensors, 2022 - mdpi.com
The Internet of Things (IoT) is a widely used technology in automated network systems
across the world. The impact of the IoT on different industries has occurred in recent years …

Deep learning in IoT intrusion detection

S Tsimenidis, T Lagkas, K Rantos - Journal of network and systems …, 2022 - Springer
Abstract The Internet of Things (IoT) is the new paradigm of our times, where smart devices
and sensors from across the globe are interconnected in a global grid, and distributed …

A novel deep learning-based intrusion detection system for IOT networks

A Awajan - Computers, 2023 - mdpi.com
The impressive growth rate of the Internet of Things (IoT) has drawn the attention of
cybercriminals more than ever. The growing number of cyber-attacks on IoT devices and …

Intrusion detection based on machine learning in the internet of things, attacks and counter measures

E Rehman, M Haseeb-ud-Din, AJ Malik… - The Journal of …, 2022 - Springer
Globally, data security and privacy over the Internet of Things (IoT) are necessary due to its
emergence in daily life. As the IoT will soon invade each part of our lives, attention to IoT …

Deep learning-based intrusion detection for IoT networks

M Ge, X Fu, N Syed, Z Baig, G Teo… - 2019 IEEE 24th …, 2019 - ieeexplore.ieee.org
Internet of Things (IoT) has an immense potential for a plethora of applications ranging from
healthcare automation to defence networks and the power grid. The security of an IoT …

Towards deep-learning-driven intrusion detection for the internet of things

G Thamilarasu, S Chawla - Sensors, 2019 - mdpi.com
Cyber-attacks on the Internet of Things (IoT) are growing at an alarming rate as devices,
applications, and communication networks are becoming increasingly connected and …

Internet of Things: A survey on machine learning-based intrusion detection approaches

KAP Da Costa, JP Papa, CO Lisboa, R Munoz… - Computer Networks, 2019 - Elsevier
In the world scenario, concerns with security and privacy regarding computer networks are
always increasing. Computer security has become a necessity due to the proliferation of …