[HTML][HTML] A systematic literature review of recent lightweight detection approaches leveraging machine and deep learning mechanisms in Internet of Things networks
GAL Mukhaini, M Anbar, S Manickam… - Journal of King Saud …, 2024 - Elsevier
Abstract The Internet of Things (IoT) connects daily use devices to the Internet, such as
home appliances, health care equipment, sensors, and industrial devices. Concurrently …
home appliances, health care equipment, sensors, and industrial devices. Concurrently …
Hybrid approach to intrusion detection in fog-based IoT environments
CA De Souza, CB Westphall, RB Machado… - Computer Networks, 2020 - Elsevier
Abstract In the Internet of Things (IoT) systems, information of various kinds is continuously
captured, processed, and transmitted by systems generally interconnected by the Internet …
captured, processed, and transmitted by systems generally interconnected by the Internet …
Monitoring real time security attacks for IoT systems using DevSecOps: a systematic literature review
In many enterprises and the private sector, the Internet of Things (IoT) has spread globally.
The growing number of different devices connected to the IoT and their various protocols …
The growing number of different devices connected to the IoT and their various protocols …
Anomaly-based intrusion detection system for IoT application
Abstract Internet-of-Things (IoT) connects various physical objects through the Internet and it
has a wide application, such as in transportation, military, healthcare, agriculture, and many …
has a wide application, such as in transportation, military, healthcare, agriculture, and many …
[HTML][HTML] TNN-IDS: Transformer neural network-based intrusion detection system for MQTT-enabled IoT Networks
Abstract The Internet of Things (IoT) is a global network that connects a large number of
smart devices. MQTT is a de facto standard, lightweight, and reliable protocol for machine-to …
smart devices. MQTT is a de facto standard, lightweight, and reliable protocol for machine-to …
A comprehensive review on cyber-attack detection and control of microgrid systems
Due to the fast progress of Microgrid (MG) systems and the development of advanced
computing technologies and communication networks—all of which enhance the efficiency …
computing technologies and communication networks—all of which enhance the efficiency …
Anomaly based intrusion detection for iot with machine learning
The Internet of Things (IoT) is the network that connects smart devices over the Internet.
These devices are increasingly found in every facet of life, providing distributed data …
These devices are increasingly found in every facet of life, providing distributed data …
Using incremental ensemble learning techniques to design portable intrusion detection for computationally constraint systems
PR Agbedanu, R Musabe, J Rwigema, I Gatare - 2022 - preprints.org
Computers have evolved over the years and as the evolution continues, we have been
ushered into an era where high-speed internet has made it possible for devices in our …
ushered into an era where high-speed internet has made it possible for devices in our …
DP-IOT AD: DIFFERENTIALLY PRIVATE IOT ANOMALY DETECTION WITH UTILITY-PRIVACY TRADE-OFF OPTIMIZATION
A Fahad - … Journal of Communication Networks and Information …, 2024 - search.proquest.com
The rapid proliferation of Internet of Things (IoT) devices has led to an unprecedented
volume of data generated from diverse sources, necessitating robust and scalable anomaly …
volume of data generated from diverse sources, necessitating robust and scalable anomaly …
[PDF][PDF] Discover Internet of Things
Abstract Internet-of-Things (IoT) connects various physical objects through the Internet and it
has a wide application, such as in transportation, military, healthcare, agriculture, and many …
has a wide application, such as in transportation, military, healthcare, agriculture, and many …