Machine learning based solutions for security of Internet of Things (IoT): A survey
Over the last decade, IoT platforms have been developed into a global giant that grabs every
aspect of our daily lives by advancing human life with its unaccountable smart services …
aspect of our daily lives by advancing human life with its unaccountable smart services …
Cyber security threats detection in internet of things using deep learning approach
The IoT (Internet of Things) connect systems, applications, data storage, and services that
may be a new gateway for cyber-attacks as they continuously offer services in the …
may be a new gateway for cyber-attacks as they continuously offer services in the …
Anomaly detection on iot network intrusion using machine learning
Enhancing the security of IoT networks is trending as one of the most crucial issues the
information technology community faces. With large scales of IoT devices being developed …
information technology community faces. With large scales of IoT devices being developed …
Deep learning and big data technologies for IoT security
Technology has become inevitable in human life, especially the growth of Internet of Things
(IoT), which enables communication and interaction with various devices. However, IoT has …
(IoT), which enables communication and interaction with various devices. However, IoT has …
Intrusion detection in IoT using artificial neural networks on UNSW-15 dataset
IoT devices are susceptible to numerous cyber-attacks due to its low power, low
computational requirements and controlled environment that make it hard to implement …
computational requirements and controlled environment that make it hard to implement …
A comprehensive review on detection of cyber-attacks: Data sets, methods, challenges, and future research directions
H Ahmetoglu, R Das - Internet of Things, 2022 - Elsevier
Rapid developments in network technologies and the amount and scope of data transferred
on networks are increasing day by day. Depending on this situation, the density and …
on networks are increasing day by day. Depending on this situation, the density and …
Detection of real-time malicious intrusions and attacks in IoT empowered cybersecurity infrastructures
Computer viruses, malicious, and other hostile attacks can affect a computer network.
Intrusion detection is a key component of network security as an active defence technology …
Intrusion detection is a key component of network security as an active defence technology …
Industrial internet-of-things security enhanced with deep learning approaches for smart cities
N Magaia, R Fonseca, K Muhammad… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
The significant evolution of the Internet of Things (IoT) enabled the development of
numerous devices able to improve many aspects in various fields in the industry for smart …
numerous devices able to improve many aspects in various fields in the industry for smart …
Malicious insider attack detection in IoTs using data analytics
Internet of Things (IoTs) are set to revolutionize our lives and are widely being adopted
nowadays. The IoT devices have a range of applications including smart homes, smart …
nowadays. The IoT devices have a range of applications including smart homes, smart …
A novel attack detection scheme for the industrial internet of things using a lightweight random neural network
The Industrial Internet of Things (IIoT) brings together many sensors, machines, industrial
applications, databases, services, and people at work. The IIoT is improving our lives in …
applications, databases, services, and people at work. The IIoT is improving our lives in …