Towards cooperative federated learning over heterogeneous edge/fog networks
Federated learning (FL) has been promoted as a popular technique for training machine
learning (ML) models over edge/fog networks. Traditional implementations of FL have …
learning (ML) models over edge/fog networks. Traditional implementations of FL have …
Tipping point prediction and mechanism analysis of malware spreading in cyber–physical systems
Malware spreading, characterized by differential equations, in networked systems has
become a common topic of study in the scientific literature. In this paper, we focus primarily …
become a common topic of study in the scientific literature. In this paper, we focus primarily …
Integrated learning self-triggered control for model-free continuous-time systems with convergence guarantees
This paper presents an integrated self-triggered control strategy with convergence
guarantees for model-free continuous-time systems using reinforcement learning. To …
guarantees for model-free continuous-time systems using reinforcement learning. To …
[HTML][HTML] Security state estimation for cyber-physical systems against DoS attacks via reinforcement learning and game theory
Z Jin, S Zhang, Y Hu, Y Zhang, C Sun - Actuators, 2022 - mdpi.com
This paper addressed the optimal policy selection problem of attacker and sensor in cyber-
physical systems (CPSs) under denial of service (DoS) attacks. Since the sensor and the …
physical systems (CPSs) under denial of service (DoS) attacks. Since the sensor and the …
Contrastive learning over random fourier features for iot network intrusion detection
M Lopez-Martin, A Sanchez-Esguevillas… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
IoT networks connect dispersed and heterogeneous devices with high economic impact,
making them an important cybersecurity target. The changing nature of cybersecurity attacks …
making them an important cybersecurity target. The changing nature of cybersecurity attacks …
Artificial Intelligence in Visible Light Positioning for Indoor IoT: A Methodological Review
Indoor communication and positioning are significant fields of applications for indoor Internet
of Things (IoT) given the rapid growth of IoT in smart cities, smart grids, and smart industries …
of Things (IoT) given the rapid growth of IoT in smart cities, smart grids, and smart industries …
[HTML][HTML] Experimental Assessment of Electromagnetic Fields Inside a Vehicle for Different Wireless Communication Scenarios: A New Alternative Source of Energy
The search for new energy sources in the 21st century is a crucial topic with an essential
economic and societal meaning. Today, energy from electromagnetic fields (EMFs) is …
economic and societal meaning. Today, energy from electromagnetic fields (EMFs) is …
Multi-stage attack detection: Emerging challenges for wireless networks
Multi-stage attacks (MSAs) are among the most serious threats in cyberspace today.
Criminals target big organisations and government critical infrastructures mainly for financial …
Criminals target big organisations and government critical infrastructures mainly for financial …
Joint heterogeneous PUF-based security-enhanced IoT authentication
This study proposes a novel authentication scheme that provides enhanced security for
Internet of Things (IoT) applications by integrating a radio frequency (RF) physical …
Internet of Things (IoT) applications by integrating a radio frequency (RF) physical …
Deep temporal state perception towards artificial cyber-physical systems
Cyber–physical systems (CPS), as the cornerstone of smart city, has been attracting great
interest from academia and industry. It aims to monitor/control physical components via …
interest from academia and industry. It aims to monitor/control physical components via …