Big data meet cyber-physical systems: A panoramic survey

R Atat, L Liu, J Wu, G Li, C Ye, Y Yang - IEEE Access, 2018‏ - ieeexplore.ieee.org
The world is witnessing an unprecedented growth of cyber-physical systems (CPS), which
are foreseen to revolutionize our world via creating new services and applications in a …

Artificial Intelligence powered Internet of Things and smart public service

Y Ma, K **, C Wu, L Chen, H Shi, D Chong - Library Hi Tech, 2020‏ - emerald.com
Purpose The Internet of Things (IoT) has attracted a lot of attention in both industrial and
academic fields for recent years. Artificial intelligence (AI) has developed rapidly in recent …

Information-theoretic approaches to privacy in estimation and control

E Nekouei, T Tanaka, M Skoglund… - Annual Reviews in …, 2019‏ - Elsevier
Network control systems (NCSs) heavily rely on information and communication
technologies for sharing information between sensors and controllers as well as controllers …

Enabling cyber‐physical communication in 5G cellular networks: challenges, spatial spectrum sensing, and cyber‐security

R Atat, L Liu, H Chen, J Wu, H Li… - IET Cyber‐Physical …, 2017‏ - Wiley Online Library
Cyber‐physical systems (CPS) help create new services and applications by revolutionising
our world in different fields through their tight interactions and automated decisions. This is …

A machine learning decision-support system improves the internet of things' smart meter operations

J Siryani, B Tanju, TJ Eveleigh - IEEE Internet of Things Journal, 2017‏ - ieeexplore.ieee.org
An Internet of Things'(IoT) connected society and system represents a tremendous paradigm
shift. We present a framework for a decision-support system (DSS) that operates within the …

[HTML][HTML] Machine learning-based management of electric vehicles charging: Towards highly-dispersed fast chargers

M Shibl, L Ismail, A Massoud - Energies, 2020‏ - mdpi.com
Coordinated charging of electric vehicles (EVs) improves the overall efficiency of the power
grid as it avoids distribution system overloads, increases power quality, and decreases …

Data disclosure with non-zero leakage and non-invertible leakage matrix

A Zamani, TJ Oechtering… - IEEE Transactions on …, 2021‏ - ieeexplore.ieee.org
We study a statistical signal processing privacy problem, where an agent observes useful
data and wants to reveal the information to a user. Since the useful data is correlated with …

Privacy with estimation guarantees

H Wang, L Vo, FP Calmon, M Médard… - IEEE Transactions …, 2019‏ - ieeexplore.ieee.org
We study the central problem in data privacy: how to share data with an analyst while
providing both privacy and utility guarantees to the user that owns the data. In this setting …

Privacy against a hypothesis testing adversary

Z Li, TJ Oechtering, D Gündüz - IEEE Transactions on …, 2018‏ - ieeexplore.ieee.org
Privacy against an adversary (AD) that tries to detect the underlying privacy-sensitive data
distribution is studied. The original data sequence is assumed to come from one of the two …

A randomized filtering strategy against inference attacks on active steering control systems

E Nekouei, M Pirani, H Sandberg… - IEEE Transactions on …, 2021‏ - ieeexplore.ieee.org
In this paper, we develop a framework against inference attacks aimed at inferring the
values of the controller gains of an active steering control system (ASCS). We first show that …