[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 …
[HTML][HTML] Performance investigation of principal component analysis for intrusion detection system using different support vector machine kernels
The growing number of security threats has prompted the use of a variety of security
techniques. The most common security tools for identifying and tracking intruders across …
techniques. The most common security tools for identifying and tracking intruders across …
Anomaly based network intrusion detection for IoT attacks using deep learning technique
Abstract Internet of Things (IoT) applications are growing in popularity for being widely used
in many real-world services. In an IoT ecosystem, many devices are connected with each …
in many real-world services. In an IoT ecosystem, many devices are connected with each …
[HTML][HTML] Securing the Digital World: Protecting smart infrastructures and digital industries with Artificial Intelligence (AI)-enabled malware and intrusion detection
M Schmitt - Journal of Industrial Information Integration, 2023 - Elsevier
The last decades have been characterized by unprecedented technological advances,
many of them powered by modern technologies such as Artificial Intelligence (AI) and …
many of them powered by modern technologies such as Artificial Intelligence (AI) and …
[HTML][HTML] A new ensemble-based intrusion detection system for internet of things
The domain of Internet of Things (IoT) has witnessed immense adaptability over the last few
years by drastically transforming human lives to automate their ordinary daily tasks. This is …
years by drastically transforming human lives to automate their ordinary daily tasks. This is …
Botnet Attack Detection by Using CNN‐LSTM Model for Internet of Things Applications
H Alkahtani, THH Aldhyani - Security and Communication …, 2021 - Wiley Online Library
The Internet of Things (IoT) has grown rapidly, and nowadays, it is exploited by cyber attacks
on IoT devices. An accurate system to identify malicious attacks on the IoT environment has …
on IoT devices. An accurate system to identify malicious attacks on the IoT environment has …
Explainable artificial intelligence for intrusion detection in IoT networks: A deep learning based approach
Abstract The Internet of Things (IoT) is currently seeing tremendous growth due to new
technologies and big data. Research in the field of IoT security is an emerging topic. IoT …
technologies and big data. Research in the field of IoT security is an emerging topic. IoT …
An optimized ensemble prediction model using AutoML based on soft voting classifier for network intrusion detection
Traditional ML based IDS cannot handle high-speed and ever-evolving attacks.
Furthermore, these traditional IDS face several common challenges, such as processing …
Furthermore, these traditional IDS face several common challenges, such as processing …
Cyber security intrusion detection for agriculture 4.0: Machine learning-based solutions, datasets, and future directions
In this paper, we review and analyze intrusion detection systems for Agriculture 4.0 cyber
security. Specifically, we present cyber security threats and evaluation metrics used in the …
security. Specifically, we present cyber security threats and evaluation metrics used in the …
[HTML][HTML] Anomaly detection using deep neural network for IoT architecture
The revolutionary idea of the internet of things (IoT) architecture has gained enormous
popularity over the last decade, resulting in an exponential growth in the IoT networks …
popularity over the last decade, resulting in an exponential growth in the IoT networks …