Cyber security threats detection in internet of things using deep learning approach

F Ullah, H Naeem, S Jabbar, S Khalid, MA Latif… - IEEE …, 2019 - ieeexplore.ieee.org
The IoT (Internet of Things) connect systems, applications, data storage, and services that
may be a new gateway for cyber-attacks as they continuously offer services in the …

Internet of Things attack detection using hybrid Deep Learning Model

AK Sahu, S Sharma, M Tanveer, R Raja - Computer Communications, 2021 - Elsevier
Abstract The Internet of Things (IoT) has become a very popular area of research due to its
large-scale implementation and challenges. However, security is the key concern while …

[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 …

[HTML][HTML] Detecting cybersecurity attacks in internet of things using artificial intelligence methods: A systematic literature review

M Abdullahi, Y Baashar, H Alhussian, A Alwadain… - Electronics, 2022 - mdpi.com
In recent years, technology has advanced to the fourth industrial revolution (Industry 4.0),
where the Internet of things (IoTs), fog computing, computer security, and cyberattacks have …

Intrusion Detection System to Advance Internet of Things Infrastructure‐Based Deep Learning Algorithms

H Alkahtani, THH Aldhyani - Complexity, 2021 - Wiley Online Library
Smart grids, advanced information technology, have become the favored intrusion targets
due to the Internet of Things (IoT) using sensor devices to collect data from a smart grid …

[HTML][HTML] A deep learning methodology for predicting cybersecurity attacks on the internet of things

OA Alkhudaydi, M Krichen, AD Alghamdi - Information, 2023 - mdpi.com
With the increasing severity and frequency of cyberattacks, the rapid expansion of smart
objects intensifies cybersecurity threats. The vast communication traffic data between …

[HTML][HTML] 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 …

Intrusion detection framework for the internet of things using a dense random neural network

S Latif, Z e Huma, SS Jamal, F Ahmed… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) devices, networks, and applications have become an integral
part of modern societies. Despite their social, economic, and industrial benefits, these …

[HTML][HTML] Securing IoT and SDN systems using deep-learning based automatic intrusion detection

RA Elsayed, RA Hamada, MI Abdalla… - Ain Shams Engineering …, 2023 - Elsevier
Abstract Both Internet of Things (IoT) and Software Defined Networks (SDN) have a major
role in increasing efficiency and productivity for smart cities. Despite that, they face potential …

Distributed attack detection scheme using deep learning approach for Internet of Things

AA Diro, N Chilamkurti - Future Generation Computer Systems, 2018 - Elsevier
Cybersecurity continues to be a serious issue for any sector in the cyberspace as the
number of security breaches is increasing from time to time. It is known that thousands of …