Ai-based two-stage intrusion detection for software defined iot networks
Software defined Internet of Things (SD-IoT) networks profit from centralized management
and interactive resource sharing, which enhances the efficiency and scalability of Internet of …
and interactive resource sharing, which enhances the efficiency and scalability of Internet of …
A smart anomaly-based intrusion detection system for the Internet of Things (IoT) network using GWO–PSO–RF model
Abstract The Internet of Things (IoT) is adding the advancement in the technology for
creating smart environments to facilitate humans for various works. The technological …
creating smart environments to facilitate humans for various works. The technological …
[PDF][PDF] Anomaly Detection for Industrial Internet of Things Cyberattacks.
R Alanazi, A Aljuhani - Computer Systems Science & …, 2023 - cdn.techscience.cn
The evolution of the Internet of Things (IoT) has empowered modern industries with the
capability to implement large-scale IoT ecosystems, such as the Industrial Internet of Things …
capability to implement large-scale IoT ecosystems, such as the Industrial Internet of Things …
[HTML][HTML] IoT intrusion detection using machine learning with a novel high performing feature selection method
The Internet of Things (IoT) ecosystem has experienced significant growth in data traffic and
consequently high dimensionality. Intrusion Detection Systems (IDSs) are essential self …
consequently high dimensionality. Intrusion Detection Systems (IDSs) are essential self …
As-ids: Anomaly and signature based ids for the internet of things
Abstract The Internet of Things (IoT) is a massively extensive environment that can manage
many diverse applications. Security is critical due to potential malicious threats and the …
many diverse applications. Security is critical due to potential malicious threats and the …
A heuristic intrusion detection system for Internet-of-Things (IoT)
AH Qureshi, H Larijani, J Ahmad, N Mtetwa - … Computing: Proceedings of …, 2019 - Springer
Today, digitally connected devices are involved in every aspect of life due to the
advancements in Internet-of-Things (IoT) paradigm. Recently, it has been a driving force for …
advancements in Internet-of-Things (IoT) paradigm. Recently, it has been a driving force for …
Real time dataset generation framework for intrusion detection systems in IoT
Y Al-Hadhrami, FK Hussain - Future Generation Computer Systems, 2020 - Elsevier
Abstract The Internet of Things (IoT) has evolved in the last few years to become one of the
hottest topics in the area of computer science research. This drastic increase in IoT …
hottest topics in the area of computer science research. This drastic increase in IoT …
[HTML][HTML] Toward improved machine learning-based intrusion detection for Internet of Things traffic
S Alkadi, S Al-Ahmadi, MM Ben Ismail - Computers, 2023 - mdpi.com
The rapid development of Internet of Things (IoT) networks has revealed multiple security
issues. On the other hand, machine learning (ML) has proven its efficiency in building …
issues. On the other hand, machine learning (ML) has proven its efficiency in building …
[HTML][HTML] Transfer-learning-based intrusion detection framework in IoT networks
Cyberattacks in the Internet of Things (IoT) are growing exponentially, especially zero-day
attacks mostly driven by security weaknesses on IoT networks. Traditional intrusion …
attacks mostly driven by security weaknesses on IoT networks. Traditional intrusion …
An improved anomaly detection model for IoT security using decision tree and gradient boosting
M Douiba, S Benkirane, A Guezzaz… - The Journal of …, 2023 - Springer
Abstract Internet of Things (IoT) represents a massive deployment of connected, intelligent
devices that communicate directly in private, public, and professional environments without …
devices that communicate directly in private, public, and professional environments without …