[PDF][PDF] Intrusion detection in the Internet of Things using fusion of GRU-LSTM deep learning model

MS Al-kahtani, Z Mehmood, T Sadad… - … Automation & Soft …, 2023 - researchgate.net
Cybersecurity threats are increasing rapidly as hackers use advanced techniques. As a
result, cybersecurity has now a significant factor in protecting organizational limits. Intrusion …

[HTML][HTML] Towards an effective deep learning-based intrusion detection system in the internet of things

BM Pampapathi, N Guptha, MS Hema - Telematics and Informatics Reports, 2022 - Elsevier
Abstract Distributed Sensor Networks play a vital role in the day-to-day world of computing
applications, from the cloud to the Internet of Things (IoT). These computing applications …

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 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 …

[HTML][HTML] DCNNBiLSTM: An efficient hybrid deep learning-based intrusion detection system

V Hnamte, J Hussain - Telematics and Informatics Reports, 2023 - Elsevier
In recent years, all real-world processes have been shifted to the cyber environment
practically, and computers communicate with one another over the Internet. As a result, there …

Composition of hybrid deep learning model and feature optimization for intrusion detection system

A Henry, S Gautam, S Khanna, K Rabie, T Shongwe… - Sensors, 2023 - mdpi.com
Recently, with the massive growth of IoT devices, the attack surfaces have also intensified.
Thus, cybersecurity has become a critical component to protect organizational boundaries …

Intrusion detection in internet of things using convolutional neural networks

M Kodyš, Z Lu, KW Fok… - 2021 18th International …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) has become a popular paradigm to fulfil needs of the industry such
as asset tracking, resource monitoring and automation. As security mechanisms are often …

[图书][B] Deep learning based intrusion detection system for Internet of Things

S Chawla - 2017 - search.proquest.com
With the increase in number of Internet connected devices, security and privacy concerns
are the major obstacles impeding the widespread adoption of Internet of Things (IoT) …

[HTML][HTML] A new deep-learning with swarm based feature selection for intelligent intrusion detection for the Internet of things

R Anushiya, VS Lavanya - Measurement: Sensors, 2023 - Elsevier
Humanity can benefit from the Internet of Things (IoT) paradigm in many different ways. IoT
devices are nonetheless susceptible to different cyber-attacks launched by the attacker …

Supervised machine learning based network intrusion detection system for Internet of Things

D Rani, NC Kaushal - 2020 11th International conference on …, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) is an innovative invention that can combine physical object to the
Internet with an ability to transfer and access of the data through Internet, however with the …