Deep learning approach for intrusion detection system (ids) in the internet of things (iot) network using gated recurrent neural networks (gru)

MK Putchala - 2017 - rave.ohiolink.edu
Abstract The Internet of Things (IoT) is a complex paradigm where billions of devices are
connected to a network. These connected devices form an intelligent system of systems that …

[PDF][PDF] Deep learning approaches for intrusion detection in IIoT networks–opportunities and future directions

T Vaiyapuri, Z Sbai, H Alaskar… - … Journal of Advanced …, 2021 - pdfs.semanticscholar.org
In recent years, the Industrial Internet of things (IIoT) is a fastest advancing innovative
technology with a potential to digitize and interconnect many industries for huge business …

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 …

[PDF][PDF] Towards Machine Learning Based Intrusion Detection in IoT Networks.

N Islam, F Farhin, I Sultana, MS Kaiser… - … Materials & Continua, 2021 - cdn.techscience.cn
The Internet of Things (IoT) integrates billions of self-organized and heterogeneous smart
nodes that communicate with each other without human intervention. In recent years, IoT …

WILS-TRS—A novel optimized deep learning based intrusion detection framework for IoT networks

B Jothi, M Pushpalatha - Personal and Ubiquitous Computing, 2023 - Springer
Abstract Internet of Things (IoT) and its applications have gained importance in recent times
of research. The heterogeneous nature of IoT networks makes them applicable for various …

[PDF][PDF] Hybrid intrusion detection system for internet of things (IoT)

S Smys, A Basar, H Wang - Journal of ISMAC, 2020 - scholar.archive.org
Internet of things (IoT) is a promising solution to connect and access every device through
internet. Every day the device count increases with large diversity in shape, size, usage and …

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 …

A Comprehensive Survey on Machine Learning‐Based Intrusion Detection Systems for Secure Communication in Internet of Things

SVN Santhosh Kumar, M Selvi… - Computational …, 2023 - Wiley Online Library
The Internet of Things (IoT) is a distributed system which is made up of the connections of
smart objects (things) that can continuously sense the events in their sensing domain and …

Deep learning for intrusion detection and security of Internet of things (IoT): current analysis, challenges, and possible solutions

AR Khan, M Kashif, RH Jhaveri, R Raut… - Security and …, 2022 - Wiley Online Library
In the last decade, huge growth is recorded globally in computer networks and Internet of
Things (IoT) networks due to the exponential data generation, approximately zettabyte to a …

Artificial neural networks-based intrusion detection system for internet of things fog nodes

J Pacheco, VH Benitez, LC Felix-Herran… - IEEE Access, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) represents a mean to share resources (memory, storage
computational power, data, etc.) between computers and mobile devices, as well as …