A review on machine learning and deep learning perspectives of IDS for IoT: recent updates, security issues, and challenges
Abstract Internet of Things (IoT) is widely accepted technology in both industrial as well as
academic field. The objective of IoT is to combine the physical environment with the cyber …
academic field. The objective of IoT is to combine the physical environment with the cyber …
[HTML][HTML] Artificial intelligence techniques in smart grid: A survey
OA Omitaomu, H Niu - Smart Cities, 2021 - mdpi.com
The smart grid is enabling the collection of massive amounts of high-dimensional and multi-
type data about the electric power grid operations, by integrating advanced metering …
type data about the electric power grid operations, by integrating advanced metering …
A survey on IoT security: application areas, security threats, and solution architectures
The Internet of Things (IoT) is the next era of communication. Using the IoT, physical objects
can be empowered to create, receive, and exchange data in a seamless manner. Various …
can be empowered to create, receive, and exchange data in a seamless manner. Various …
Machine learning in IoT security: Current solutions and future challenges
The future Internet of Things (IoT) will have a deep economical, commercial and social
impact on our lives. The participating nodes in IoT networks are usually resource …
impact on our lives. The participating nodes in IoT networks are usually resource …
A survey of machine and deep learning methods for internet of things (IoT) security
The Internet of Things (IoT) integrates billions of smart devices that can communicate with
one another with minimal human intervention. IoT is one of the fastest developing fields in …
one another with minimal human intervention. IoT is one of the fastest developing fields in …
Machine learning on sustainable energy: A review and outlook on renewable energy systems, catalysis, smart grid and energy storage
D Rangel-Martinez, KDP Nigam… - … Research and Design, 2021 - Elsevier
This study presents a broad view of the current state of the art of ML applications in the
manufacturing sectors that have a considerable impact on sustainability and the …
manufacturing sectors that have a considerable impact on sustainability and the …
Integrating artificial intelligence Internet of Things and 5G for next-generation smartgrid: A survey of trends challenges and prospect
Smartgrid is a paradigm that was introduced into the conventional electricity network to
enhance the way generation, transmission, and distribution networks interrelate. It involves …
enhance the way generation, transmission, and distribution networks interrelate. It involves …
A survey on attack detection, estimation and control of industrial cyber–physical systems
D Zhang, QG Wang, G Feng, Y Shi, AV Vasilakos - ISA transactions, 2021 - Elsevier
Cyber–physical systems (CPSs) are complex systems that involve technologies such as
control, communication, and computing. Nowadays, CPSs have a wide range of applications …
control, communication, and computing. Nowadays, CPSs have a wide range of applications …
IoT security techniques based on machine learning: How do IoT devices use AI to enhance security?
The Internet of things (IoT), which integrates a variety of devices into networks to provide
advanced and intelligent services, has to protect user privacy and address attacks such as …
advanced and intelligent services, has to protect user privacy and address attacks such as …
Application of big data and machine learning in smart grid, and associated security concerns: A review
This paper conducts a comprehensive study on the application of big data and machine
learning in the electrical power grid introduced through the emergence of the next …
learning in the electrical power grid introduced through the emergence of the next …