[PDF][PDF] Minimizing time complexity for IOT-IDS based feature selection approach
DH Khamees, EI Essa - computersciencejournals.com
Abstract The Internet of Things (IoT) is currently receiving significant attention from
researchers and industries. Every day, smaller and smarter devices are being deployed …
researchers and industries. Every day, smaller and smarter devices are being deployed …
Network intrusion detection system for IoT security using machine learning and statistical based hybrid feature selection
S Walling, S Lodh - Security and Privacy - Wiley Online Library
The widespread adoption of Internet of Things (IoT) devices has revolutionized daily life,
offering convenience and efficiency. However, this growth has also brought new security …
offering convenience and efficiency. However, this growth has also brought new security …
[PDF][PDF] An effective ids framework for IoT using feature selection and classification model
L Saraladeve, A Chandrasekar - J Theor Appl Inf Technol, 2023 - jatit.org
Devices and services that are part of the Internet of Things (IoT) bring convenience but are
loaded with significant security risks. When protecting the IoT environment, the Intrusion …
loaded with significant security risks. When protecting the IoT environment, the Intrusion …
[PDF][PDF] A comparative study of machine learning algorithms for intrusion detection in IoT networks
Accepted: 28 May 2023 The pervasive threat of cyberattacks jeopardizes the security and
privacy of the Internet of Things (IoT) landscape, spanning devices to networks. To counter …
privacy of the Internet of Things (IoT) landscape, spanning devices to networks. To counter …
[PDF][PDF] Performance Analysis of Intrusion Detection System in the IoT Environment Using Feature Selection Technique.
M Alhanaya… - Intelligent Automation & …, 2023 - cdn.techscience.cn
The increasing number of security holes in the Internet of Things (IoT) networks creates a
question about the reliability of existing network intrusion detection systems. This problem …
question about the reliability of existing network intrusion detection systems. This problem …
Optimizing Feature Selection in Intrusion Detection Using Fisher Score Algorithm: An Analytical Study
Traditional intrusion detection methods often fail to meet the unique security requirements of
IoT applications, raising serious security concerns due to the rapid expansion of the Internet …
IoT applications, raising serious security concerns due to the rapid expansion of the Internet …
Toward design of an intelligent cyber attack detection system using hybrid feature reduced approach for iot networks
With simple connectivity and fast-growing demand of smart devices and networks, IoT has
become more prone to cyber attacks. In order to detect and prevent cyber attacks in IoT …
become more prone to cyber attacks. In order to detect and prevent cyber attacks in IoT …
Feature Selection Enhancement to Evaluate Attack Detection in the Internet of Things Environment
K Harahsheh, R Al-Naimat, CH Chen - 2024 - preprints.org
The rapid evolution of technology has given rise to a connected world, where billions of
devices interact seamlessly, forming what is known as the Internet of Things (IoT). While IoT …
devices interact seamlessly, forming what is known as the Internet of Things (IoT). While IoT …
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 …
Bio-inspired Intrusion Detection System for Internet of Things Networks Security
The contemporary era has witnessed substantial growth in the Internet of Things (IoT),
accompanied by an escalation in data volume due to the proliferation of Internet-connected …
accompanied by an escalation in data volume due to the proliferation of Internet-connected …