A survey of intrusion detection systems in wireless sensor networks

I Butun, SD Morgera, R Sankar - IEEE communications surveys …, 2013 - ieeexplore.ieee.org
Wireless Sensor Networking is one of the most promising technologies that have
applications ranging from health care to tactical military. Although Wireless Sensor Networks …

A survey of intrusion detection techniques for cyber-physical systems

R Mitchell, IR Chen - ACM Computing Surveys (CSUR), 2014 - dl.acm.org
Pervasive healthcare systems, smart grids, and unmanned aircraft systems are examples of
Cyber-Physical Systems (CPSs) that have become highly integrated in the modern world. As …

A survey on security control and attack detection for industrial cyber-physical systems

D Ding, QL Han, Y **ang, X Ge, XM Zhang - Neurocomputing, 2018 - Elsevier
Abstract Cyber-physical systems (CPSs), which are an integration of computation,
networking, and physical processes, play an increasingly important role in critical …

[HTML][HTML] Security of smart manufacturing systems

N Tuptuk, S Hailes - Journal of manufacturing systems, 2018 - Elsevier
A revolution in manufacturing systems is underway: substantial recent investment has been
directed towards the development of smart manufacturing systems that are able to respond …

Industrial communication systems and their future challenges: Next-generation Ethernet, IIoT, and 5G

S Vitturi, C Zunino, T Sauter - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
Industrial communication systems represent one of the most important innovations of the last
decades in the context of factory and process automation systems. They are networks …

The convergence of digital twin, IoT, and machine learning: transforming data into action

MJ Kaur, VP Mishra, P Maheshwari - Digital twin technologies and smart …, 2020 - Springer
Abstract Digital twins, Internet of Things (IoT), block chains, and Artificial Intelligence (AI)
may redefine our imagination and future vision of globalization. Digital Twin will likely affect …

Machine learning for intrusion detection in industrial control systems: Applications, challenges, and recommendations

MA Umer, KN Junejo, MT Jilani, AP Mathur - International Journal of …, 2022 - Elsevier
Methods from machine learning are used in the design of secure Industrial Control Systems.
Such methods focus on two major areas: detection of intrusions at the network level using …

Machine learning-based intrusion detection for smart grid computing: A survey

N Sahani, R Zhu, JH Cho, CC Liu - ACM Transactions on Cyber-Physical …, 2023 - dl.acm.org
Machine learning (ML)-based intrusion detection system (IDS) approaches have been
significantly applied and advanced the state-of-the-art system security and defense …

Compressed sensing signal and data acquisition in wireless sensor networks and internet of things

S Li, L Da Xu, X Wang - IEEE transactions on industrial …, 2012 - ieeexplore.ieee.org
The emerging compressed sensing (CS) theory can significantly reduce the number of
sampling points that directly corresponds to the volume of data collected, which means that …

A critical analysis of research potential, challenges, and future directives in industrial wireless sensor networks

M Raza, N Aslam, H Le-Minh, S Hussain… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
In recent years, industrial wireless sensor networks (IWSNs) have emerged as an important
research theme with applications spanning a wide range of industries including automation …