Internet of things (IoT) security dataset evolution: Challenges and future directions
The evolution of mobile technologies has introduced smarter and more connected objects
into our day-to-day lives. This trend, known as the Internet of Things (IoT), has applications …
into our day-to-day lives. This trend, known as the Internet of Things (IoT), has applications …
Deep learning-based intrusion detection systems: a systematic review
Nowadays, the ever-increasing complication and severity of security attacks on computer
networks have inspired security researchers to incorporate different machine learning …
networks have inspired security researchers to incorporate different machine learning …
Design and development of a deep learning-based model for anomaly detection in IoT networks
I Ullah, QH Mahmoud - IEEE Access, 2021 - ieeexplore.ieee.org
The growing development of IoT (Internet of Things) devices creates a large attack surface
for cybercriminals to conduct potentially more destructive cyberattacks; as a result, the …
for cybercriminals to conduct potentially more destructive cyberattacks; as a result, the …
A survey on IoT intrusion detection: Federated learning, game theory, social psychology, and explainable AI as future directions
In the past several years, the world has witnessed an acute surge in the production and
usage of smart devices which are referred to as the Internet of Things (IoT). These devices …
usage of smart devices which are referred to as the Internet of Things (IoT). These devices …
[PDF][PDF] Design of deep learning algorithm for IoT application by image based recognition
ABSTRACT The Internet of Things (IoT) is an ecosystem comprised of multiple devices and
connections, a large number of users, and a massive amount of data. Deep learning is …
connections, a large number of users, and a massive amount of data. Deep learning is …
Deep learning in IoT intrusion detection
Abstract The Internet of Things (IoT) is the new paradigm of our times, where smart devices
and sensors from across the globe are interconnected in a global grid, and distributed …
and sensors from across the globe are interconnected in a global grid, and distributed …
Intrusion Detection System to Advance Internet of Things Infrastructure‐Based Deep Learning Algorithms
H Alkahtani, THH Aldhyani - Complexity, 2021 - Wiley Online Library
Smart grids, advanced information technology, have become the favored intrusion targets
due to the Internet of Things (IoT) using sensor devices to collect data from a smart grid …
due to the Internet of Things (IoT) using sensor devices to collect data from a smart grid …
[PDF][PDF] A survey of intrusion detection using deep learning in internet of things
AD Jasim - Iraqi Journal For Computer Science and Mathematics, 2022 - iasj.net
The use of deep learning in various models is a powerful tool in detecting Internet of Things
(IoT) attacks and identifying new types of intrusion to access a better secure network. The …
(IoT) attacks and identifying new types of intrusion to access a better secure network. The …
PAST-AI: Physical-layer authentication of satellite transmitters via deep learning
Physical-layer security is regaining traction in the research community, due to the
performance boost introduced by deep learning classification algorithms. This is particularly …
performance boost introduced by deep learning classification algorithms. This is particularly …
IoT security with Deep Learning-based Intrusion Detection Systems: A systematic literature review
In the recent years, Internet of things (IoT) is rising increasingly to become a big research
topic due to the billions of devices dispatched around the world. These devices are …
topic due to the billions of devices dispatched around the world. These devices are …