Ensemble deep learning: A review
Ensemble learning combines several individual models to obtain better generalization
performance. Currently, deep learning architectures are showing better performance …
performance. Currently, deep learning architectures are showing better performance …
[HTML][HTML] IoT anomaly detection methods and applications: A survey
A Chatterjee, BS Ahmed - Internet of Things, 2022 - Elsevier
Ongoing research on anomaly detection for the Internet of Things (IoT) is a rapidly
expanding field. This growth necessitates an examination of application trends and current …
expanding field. This growth necessitates an examination of application trends and current …
[HTML][HTML] A stacking ensemble of deep learning models for IoT intrusion detection
R Lazzarini, H Tianfield, V Charissis - Knowledge-Based Systems, 2023 - Elsevier
The number of Internet of Things (IoT) devices has increased considerably in the past few
years, which resulted in an exponential growth of cyber attacks on IoT infrastructure. As a …
years, which resulted in an exponential growth of cyber attacks on IoT infrastructure. As a …
ELBA-IoT: An ensemble learning model for botnet attack detection in IoT networks
Q Abu Al-Haija, M Al-Dala'ien - Journal of Sensor and Actuator Networks, 2022 - mdpi.com
Due to the prompt expansion and development of intelligent systems and autonomous,
energy-aware sensing devices, the Internet of Things (IoT) has remarkably grown and …
energy-aware sensing devices, the Internet of Things (IoT) has remarkably grown and …
Ensemble-learning framework for intrusion detection to enhance internet of things' devices security
Y Alotaibi, M Ilyas - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) comprises a network of interconnected nodes constantly
communicating, exchanging, and transferring data over various network protocols. Studies …
communicating, exchanging, and transferring data over various network protocols. Studies …
Security of Internet of Things (IoT) using federated learning and deep learning—Recent advancements, issues and prospects
There is a great demand for an efficient security framework which can secure IoT systems
from potential adversarial attacks. However, it is challenging to design a suitable security …
from potential adversarial attacks. However, it is challenging to design a suitable security …
An intelligent identification and classification system for malicious uniform resource locators (URLs)
Q Abu Al-Haija, M Al-Fayoumi - Neural Computing and Applications, 2023 - Springer
Abstract Uniform Resource Locator (URL) is a unique identifier composed of protocol and
domain name used to locate and retrieve a resource on the Internet. Like any Internet …
domain name used to locate and retrieve a resource on the Internet. Like any Internet …
A novel multi algorithm approach to identify network anomalies in the IoT using Fog computing and a model to distinguish between IoT and Non-IoT devices
RJ Alzahrani, A Alzahrani - Journal of Sensor and Actuator Networks, 2023 - mdpi.com
Botnet attacks, such as DDoS, are one of the most common types of attacks in IoT networks.
A botnet is a collection of cooperated computing machines or Internet of Things gadgets that …
A botnet is a collection of cooperated computing machines or Internet of Things gadgets that …
Review of botnet attack detection in SDN-enabled IoT Using machine learning
The orchestration of software-defined networks (SDN) and the internet of things (IoT) has
revolutionized the computing fields. These include the broad spectrum of connectivity to …
revolutionized the computing fields. These include the broad spectrum of connectivity to …
A deep learning method for lightweight and cross-device IoT botnet detection
Ensuring security of Internet of Things (IoT) devices in the face of threats and attacks is a
primary concern. IoT plays an increasingly key role in cyber–physical systems. Many …
primary concern. IoT plays an increasingly key role in cyber–physical systems. Many …