Feature selection and deep learning technique for intrusion detection system in IoT
Abstract The Internet of Things (IoT) is gaining popularity nowadays as widely used in many
fields including health care, home automation and industry. Large number of devices are …
fields including health care, home automation and industry. Large number of devices are …
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 …
connected to a network. These connected devices form an intelligent system of systems that …
Intrusion detection in iot using deep learning
AM Banaamah, I Ahmad - Sensors, 2022 - mdpi.com
Cybersecurity has been widely used in various applications, such as intelligent industrial
systems, homes, personal devices, and cars, and has led to innovative developments that …
systems, homes, personal devices, and cars, and has led to innovative developments that …
Intrusion detection and prevention in networks using machine learning and deep learning approaches: a review
JA Abraham, VR Bindu - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
As network services are used more and more, security is considered one of the main and
important concerns of the network. Many computers connected to the network play important …
important concerns of the network. Many computers connected to the network play important …
Intrusion detection using deep neural network with antirectifier layer
Data security is regarded to be one of the crucial challenges in this fast-growing internet
world. Data generated through internet is exposed to various types of vulnerabilities and …
world. Data generated through internet is exposed to various types of vulnerabilities and …
Anomaly analysis for the classification purpose of intrusion detection system with K-nearest neighbors and deep neural network
Nowadays, along with network development, due to the threats of unknown sources,
information communication is more vulnerable and require more secured information. An …
information communication is more vulnerable and require more secured information. An …
A compendium on network and host based intrusion detection systems
K Rahul-Vigneswaran, P Poornachandran… - … 2019: Proceedings of …, 2020 - Springer
The techniques of deep learning have become the state of the art methodology for executing
complicated tasks from various domains of computer vision, natural language processing …
complicated tasks from various domains of computer vision, natural language processing …
IoT-based intrusion detection system using convolution neural networks
A Aljumah - PeerJ Computer Science, 2021 - peerj.com
Abstract In the Information and Communication Technology age, connected objects
generate massive amounts of data traffic, which enables data analysis to uncover previously …
generate massive amounts of data traffic, which enables data analysis to uncover previously …
Intrusion detection system based on fast hierarchical deep convolutional neural network
Currently, with the increasing number of devices connected to the Internet, search for
network vulnerabilities to attackers has increased, and protection systems have become …
network vulnerabilities to attackers has increased, and protection systems have become …
Intrusion detection in Internet of things using improved binary golden jackal optimization algorithm and LSTM
AV Hanafi, A Ghaffari, H Rezaei, A Valipour… - Cluster Computing, 2024 - Springer
Internet of things (IoT) technology has gained a reputation in recent years due to its ease of
use and adaptability. Due to the amount of sensitive and significant data exchanged over the …
use and adaptability. Due to the amount of sensitive and significant data exchanged over the …