Iot malware analysis using federated learning: A comprehensive survey
M Venkatasubramanian, AH Lashkari, S Hakak - IEEE Access, 2023 - ieeexplore.ieee.org
The Internet of Things (IoT) has paved the way to a highly connected society where all things
are interconnected and exchanging information has become more accessible through the …
are interconnected and exchanging information has become more accessible through the …
Top-down machine learning-based architecture for cyberattacks identification and classification in IoT communication networks
Q Abu Al-Haija - Frontiers in big Data, 2022 - frontiersin.org
With the prompt revolution and emergence of smart, self-reliant, and low-power devices,
Internet of Things (IoT) has inconceivably expanded and impacted almost every real-life …
Internet of Things (IoT) has inconceivably expanded and impacted almost every real-life …
Explainable artificial intelligence in cybersecurity: A survey
Nowadays, Artificial Intelligence (AI) is widely applied in every area of human being's daily
life. Despite the AI benefits, its application suffers from the opacity of complex internal …
life. Despite the AI benefits, its application suffers from the opacity of complex internal …
Machine-learning-based darknet traffic detection system for IoT applications
The massive modern technical revolution in electronics, cognitive computing, and sensing
has provided critical infrastructure for the development of today's Internet of Things (IoT) for a …
has provided critical infrastructure for the development of today's Internet of Things (IoT) for a …
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 …
An efficient deep-learning-based detection and classification system for cyber-attacks in IoT communication networks
Q Abu Al-Haija, S Zein-Sabatto - Electronics, 2020 - mdpi.com
With the rapid expansion of intelligent resource-constrained devices and high-speed
communication technologies, the Internet of Things (IoT) has earned wide recognition as the …
communication technologies, the Internet of Things (IoT) has earned wide recognition as the …
Intrusion detection system using feature extraction with machine learning algorithms in IoT
With the continuous increase in Internet of Things (IoT) device usage, more interest has
been shown in internet security, specifically focusing on protecting these vulnerable devices …
been shown in internet security, specifically focusing on protecting these vulnerable devices …
IoT malware detection architecture using a novel channel boosted and squeezed CNN
Interaction between devices, people, and the Internet has given birth to a new digital
communication model, the internet of things (IoT). The integration of smart devices to …
communication model, the internet of things (IoT). The integration of smart devices to …
Performance of machine learning-based multi-model voting ensemble methods for network threat detection in agriculture 4.0
N Peppes, E Daskalakis, T Alexakis, E Adamopoulou… - Sensors, 2021 - mdpi.com
The upcoming agricultural revolution, known as Agriculture 4.0, integrates cutting-edge
Information and Communication Technologies in existing operations. Various cyber threats …
Information and Communication Technologies in existing operations. Various cyber threats …
An automatic and efficient malware traffic classification method for secure Internet of Things
Malware traffic classification (MTC) plays an important role in cyber security and network
resource management for the secure internet of things (IoT). Many deep learning (DL) based …
resource management for the secure internet of things (IoT). Many deep learning (DL) based …