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[HTML][HTML] A review of anomaly detection strategies to detect threats to cyber-physical systems
N Jeffrey, Q Tan, JR Villar - Electronics, 2023 - mdpi.com
Cyber-Physical Systems (CPS) are integrated systems that combine software and physical
components. CPS has experienced rapid growth over the past decade in fields as disparate …
components. CPS has experienced rapid growth over the past decade in fields as disparate …
A systematic review of cyber-resilience assessment frameworks
Cyber-attacks are regarded as one of the most serious threats to businesses worldwide.
Organizations dependent on Information Technology (IT) derive value not only from …
Organizations dependent on Information Technology (IT) derive value not only from …
Detecting cyberattacks using anomaly detection in industrial control systems: A federated learning approach
In recent years, the rapid development and wide application of advanced technologies have
profoundly impacted industrial manufacturing, leading to smart manufacturing (SM) …
profoundly impacted industrial manufacturing, leading to smart manufacturing (SM) …
Current cyber-defense trends in industrial control systems
Abstract Advanced Persistent Threats (APTs) have become a serious hazard for any critical
infrastructure, as a single solution to protect all industrial assets from these complex attacks …
infrastructure, as a single solution to protect all industrial assets from these complex attacks …
Elegant: Security of critical infrastructures with digital twins
The past years have witnessed an increasing interest and concern regarding the
development of security monitoring and management mechanisms for Critical …
development of security monitoring and management mechanisms for Critical …
Combining k-means and xgboost models for anomaly detection using log datasets
Computing and networking systems traditionally record their activity in log files, which have
been used for multiple purposes, such as troubleshooting, accounting, post-incident …
been used for multiple purposes, such as troubleshooting, accounting, post-incident …
An adaptive trust boundary protection for IIoT networks using deep-learning feature-extraction-based semisupervised model
The rapid development of Internet of Things (IoT) platforms provides the industrial domain
with many critical solutions, such as joint venture virtual production systems. However, the …
with many critical solutions, such as joint venture virtual production systems. However, the …
Machine learning for reliable network attack detection in SCADA systems
RL Perez, F Adamsky, R Soua… - 2018 17th IEEE …, 2018 - ieeexplore.ieee.org
Critical Infrastructures (CIs) use Supervisory Control And Data Acquisition (SCADA) systems
for remote control and monitoring. Sophisticated security measures are needed to address …
for remote control and monitoring. Sophisticated security measures are needed to address …
Study on the reference architecture and assessment framework of industrial internet platform
J Li, JJ Qiu, Y Zhou, S Wen, KQ Dou, Q Li - Ieee Access, 2020 - ieeexplore.ieee.org
With the continuous innovation of new-generation information technology and its
accelerated integration with manufacturing industry, industrial internet platforms (IIPs) are …
accelerated integration with manufacturing industry, industrial internet platforms (IIPs) are …
Zero Trust Implementation in the Emerging Technologies Era: Survey
This paper presents a comprehensive analysis of the shift from the traditional perimeter
model of security to the Zero Trust (ZT) framework, emphasizing the key points in the …
model of security to the Zero Trust (ZT) framework, emphasizing the key points in the …