[HTML][HTML] Deep learning for cyber threat detection in IoT networks: A review
A Aldhaheri, F Alwahedi, MA Ferrag, A Battah - Internet of Things and Cyber …, 2023 - Elsevier
Abstract The Internet of Things (IoT) has revolutionized modern tech with interconnected
smart devices. While these innovations offer unprecedented opportunities, they also …
smart devices. While these innovations offer unprecedented opportunities, they also …
A review of Machine Learning (ML)-based IoT security in healthcare: A dataset perspective
Abstract The Internet of Things (IoT) is transforming society by connecting businesses and
optimizing systems across industries. Its impact has been felt in healthcare, where it has the …
optimizing systems across industries. Its impact has been felt in healthcare, where it has the …
[HTML][HTML] Cross-layer federated learning for lightweight iot intrusion detection systems
With the proliferation of IoT devices, ensuring the security and privacy of these devices and
their associated data has become a critical challenge. In this paper, we propose a federated …
their associated data has become a critical challenge. In this paper, we propose a federated …
A review of on-device machine learning for IoT: An energy perspective
Recently, there has been a substantial interest in on-device Machine Learning (ML) models
to provide intelligence for the Internet of Things (IoT) applications such as image …
to provide intelligence for the Internet of Things (IoT) applications such as image …
[HTML][HTML] VBQ-Net: a novel vectorization-based boost quantized network model for maximizing the security level of IoT system to prevent intrusions
Data sharing with additional devices across wireless networks is made simple and
advantageous by the Internet of Things (IoT), an emerging technology. However, IoT …
advantageous by the Internet of Things (IoT), an emerging technology. However, IoT …
IoT Sensor Data Retrieval and Analysis in Cloud Environments for Enhanced Power Management
V Arulkumar, F Kavin, B Nagu - Journal of Advanced …, 2024 - semarakilmu.com.my
Abstract The Internet of Things (IoT) brings new products to everyone to improve daily life.
Concurrently other emerging technologies, including Big Data, Cloud Services, and …
Concurrently other emerging technologies, including Big Data, Cloud Services, and …
CNN-based approach for IoT intrusion attack detection
Internet of things-based devices is widely used in various applications to ease the usage of
technology. The applications of such devices lie in multiple sectors like healthcare, supply …
technology. The applications of such devices lie in multiple sectors like healthcare, supply …
Occupancy Prediction in Multi-Occupant IoT Environments leveraging Federated Learning
I Khan, FC Delicato, E Greco… - 2023 IEEE Intl Conf …, 2023 - ieeexplore.ieee.org
Energy efficiency and energy saving have become crucial issues in the face of increasing
energy demand, the need for sustainable solutions, and concerns about climate change …
energy demand, the need for sustainable solutions, and concerns about climate change …
[HTML][HTML] Implementation of Lightweight Machine Learning-Based Intrusion Detection System on IoT Devices of Smart Homes
Smart home devices, also known as IoT devices, provide significant convenience; however,
they also present opportunities for attackers to jeopardize homeowners' security and privacy …
they also present opportunities for attackers to jeopardize homeowners' security and privacy …
Design of Intrusion Detection System Using GA and CNN for MQTT-Based IoT Networks
A Dandapat, B Mondal - Wireless Personal Communications, 2024 - Springer
With the advancement of technology, Internet of Things (IoT) devices are integrated with
smart homes, smart cities, intelligent medical systems, industries, smart cars, and many …
smart homes, smart cities, intelligent medical systems, industries, smart cars, and many …