Intelligent deep learning for anomaly-based intrusion detection in IoT smart home networks
N Butt, A Shahid, KN Qureshi, S Haider, AO Ibrahim… - Mathematics, 2022 - mdpi.com
The Internet of Things (IoT) is a tremendous network based on connected smart devices.
These networks sense and transmit data by using advanced communication standards and …
These networks sense and transmit data by using advanced communication standards and …
[HTML][HTML] Attack and anomaly detection in IoT sensors in IoT sites using machine learning approaches
Attack and anomaly detection in the Internet of Things (IoT) infrastructure is a rising concern
in the domain of IoT. With the increased use of IoT infrastructure in every domain, threats …
in the domain of IoT. With the increased use of IoT infrastructure in every domain, threats …
New automatic (IDS) in IoTs with artificial intelligence technique
AFJ Jasim, S Kurnaz - Optik, 2023 - Elsevier
In this study, we will be developed new framework-based deep learning techniques for IDS
detection in a wireless sensor network. This study uses three methods for developing …
detection in a wireless sensor network. This study uses three methods for developing …
[HTML][HTML] Improved bacterial foraging optimization with deep learning based anomaly detection in smart cities
MM Khayyat - Alexandria Engineering Journal, 2023 - Elsevier
Abstract The Internet of Things (IoT) contains many smart devices that collect, store,
communicate, and process data. IoT implementation has performed novel opportunities in …
communicate, and process data. IoT implementation has performed novel opportunities in …
Optimally configured deep convolutional neural network for attack detection in internet of things: impact of algorithm of the innovative gunner
SK Sarma - Wireless Personal Communications, 2021 - Springer
Nowadays, the internet of things (IoT) has gained significant research attention. It is
becoming critically imperative to protect IoT devices against cyberattacks with the …
becoming critically imperative to protect IoT devices against cyberattacks with the …
A hybrid machine learning model for detecting cybersecurity threats in IoT applications
The introduction of the Internet of Things has led to the connectivity of millions of devices
with less human interaction. This demand in connectivity has resulted in a surge in network …
with less human interaction. This demand in connectivity has resulted in a surge in network …
Metaheuristic feature selection with deep learning enabled cascaded recurrent neural network for anomaly detection in Industrial Internet of Things environment
N Chander, M Upendra Kumar - Cluster Computing, 2023 - Springer
Abstract Industrial Internet of Things (IIoT) acts as essential part of the revolutionary
transition of conventional industries towards Industry 4.0. By the integration of instruments …
transition of conventional industries towards Industry 4.0. By the integration of instruments …
A hybrid deep learning model with self-improved optimization algorithm for detection of security attacks in IoT environment
With the growth of the Internet of Things (IoT), security attacks are also rising gradually.
Numerous centralized mechanisms have been introduced in the recent past for the detection …
Numerous centralized mechanisms have been introduced in the recent past for the detection …
Anomaly detection using ensemble techniques for boosting the security of intrusion detection system
IoT-based applications have witnessed a rapid surge in deployment in various domains. IoT
infrastructure is the nervous system responsible for the effective functioning of Smart Cities …
infrastructure is the nervous system responsible for the effective functioning of Smart Cities …
A highly secured intrusion detection system for IoT using EXPSO-STFA feature selection for LAANN to detect attacks
Abstract The Internet of Things (IoT) is a modern age technology, designed with the vision to
connect and also interconnect all the objects everywhere. Technological progressions …
connect and also interconnect all the objects everywhere. Technological progressions …