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Emerging technologies and design aspects of next generation cyber physical system with a smart city application perspective
Abstract The Cyber Physical System (CPS) is a disruptive technology that has combined the
burgeoning technologies from various domains. The CPS is continuously evolving with the …
burgeoning technologies from various domains. The CPS is continuously evolving with the …
Ensemble of autoencoders for anomaly detection in biomedical data: A narrative review
In the context of biomedical data, an anomaly could refer to a rare or new type of disease, an
aberration from normal behavior, or an unexpected observation requiring immediate …
aberration from normal behavior, or an unexpected observation requiring immediate …
Graph neural networks for anomaly detection in industrial Internet of Things
The Industrial Internet of Things (IIoT) plays an important role in digital transformation of
traditional industries toward Industry 4.0. By connecting sensors, instruments, and other …
traditional industries toward Industry 4.0. By connecting sensors, instruments, and other …
[PDF][PDF] The role of machine learning in network anomaly detection for cybersecurity
A Yaseen - Sage Science Review of Applied Machine Learning, 2023 - researchgate.net
This research introduces a theoretical framework for network anomaly detection in
cybersecurity, emphasizing the integration of adaptive machine learning models, ensemble …
cybersecurity, emphasizing the integration of adaptive machine learning models, ensemble …
Detection of cyberattacks and anomalies in cyber-physical systems: Approaches, data sources, evaluation
Cyberattacks on cyber-physical systems (CPS) can lead to severe consequences, and
therefore it is extremely important to detect them at early stages. However, there are several …
therefore it is extremely important to detect them at early stages. However, there are several …
Detecting network cyber-attacks using an integrated statistical approach
Anomaly detection in the Internet of Things (IoT) is imperative to improve its reliability and
safety. Detecting denial of service (DOS) and distributed DOS (DDOS) is one of the critical …
safety. Detecting denial of service (DOS) and distributed DOS (DDOS) is one of the critical …
Optimal feature selection for malware detection in cyber physical systems using graph convolutional network
Due to the fast growth of Internet of Things (IoT) technology, the detection and analysis of
malware have become a challenge for industrial applications of Cyber-Physical System …
malware have become a challenge for industrial applications of Cyber-Physical System …
A survey of anomaly detection methods for power grids
The power grid is a constant target for attacks as they have the potential to affect a large
geographical location, thus affecting hundreds of thousands of customers. With the advent of …
geographical location, thus affecting hundreds of thousands of customers. With the advent of …
A snapshot ensemble deep neural network model for attack detection in industrial internet of things
In the past few years, the Industrial Internet of Things (IIoT) started to emerge in different
industry sectors. IIoT connects different physical equipment and systems in order to operate …
industry sectors. IIoT connects different physical equipment and systems in order to operate …
[HTML][HTML] Assessing machine learning techniques for intrusion detection in cyber-physical systems
Cyber-physical systems (CPS) are vital to key infrastructures such as Smart Grids and water
treatment, and are increasingly vulnerable to a broad spectrum of evolving attacks. Whereas …
treatment, and are increasingly vulnerable to a broad spectrum of evolving attacks. Whereas …