[图书][B] Reinforcement learning for cyber-physical systems: with cybersecurity case studies
Reinforcement Learning for Cyber-Physical Systems: with Cybersecurity Case Studies was
inspired by recent developments in the fields of reinforcement learning (RL) and cyber …
inspired by recent developments in the fields of reinforcement learning (RL) and cyber …
A survey of machine learning-based solutions to protect privacy in the Internet of Things
Abstract The Internet of things (IoT) aims to connect everything and everyone around the
world to provide diverse applications that improve quality of life. In this technology, the …
world to provide diverse applications that improve quality of life. In this technology, the …
Multiuser physical layer authentication in Internet of Things with data augmentation
Unlike most of the upper layer authentication mechanisms, the physical (PHY) layer
authentication takes advantages of channel impulse response from wireless propagation to …
authentication takes advantages of channel impulse response from wireless propagation to …
Detection and prevention of DDoS attacks on edge computing of IoT devices through reinforcement learning
The limited resource and computation capacity of an IoT device always being a target vector
for intruders to use to steal sensitive data from the device. Computational problems were …
for intruders to use to steal sensitive data from the device. Computational problems were …
Reinforcement learning for intelligent healthcare systems: A review of challenges, applications, and open research issues
The rise of chronic disease patients and the pandemic pose immediate threats to healthcare
expenditure and mortality rates. This calls for transforming healthcare systems away from …
expenditure and mortality rates. This calls for transforming healthcare systems away from …
Effective energy management via false data detection scheme for the interconnected smart energy hub–microgrid system under stochastic framework
During the last few years, attention has overwhelmingly focused on the integrated
management of urban services and the demand of customers for locally-based supply. The …
management of urban services and the demand of customers for locally-based supply. The …
Physical layer authentication in wireless networks-based machine learning approaches
L Alhoraibi, D Alghazzawi, R Alhebshi, OBJ Rabie - Sensors, 2023 - mdpi.com
The physical layer security of wireless networks is becoming increasingly important because
of the rapid development of wireless communications and the increasing security threats. In …
of the rapid development of wireless communications and the increasing security threats. In …
Privacy leakage of LoRaWAN smart parking occupancy sensors
Abstract Development of smart cities is enabled by its core concepts of smart and
sustainable mobility, where Low Power Wide Area Network (LPWAN) such as Long Range …
sustainable mobility, where Low Power Wide Area Network (LPWAN) such as Long Range …
Reinforcement learning for intelligent healthcare systems: A comprehensive survey
The rapid increase in the percentage of chronic disease patients along with the recent
pandemic pose immediate threats on healthcare expenditure and elevate causes of death …
pandemic pose immediate threats on healthcare expenditure and elevate causes of death …
A contemporary survey on IoT based smart cities: architecture, applications, and open issues
Abstract Internet of Things (IoT) is one of the emerging technologies, which is widely used
across the globe. As the idea of a smart city was founded, IoT has been acknowledged as …
across the globe. As the idea of a smart city was founded, IoT has been acknowledged as …