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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 …
[HTML][HTML] A hybrid methodology for anomaly detection in Cyber–Physical Systems
N Jeffrey, Q Tan, JR Villar - Neurocomputing, 2024 - Elsevier
The rapid adoption of Industry 4.0 has seen Information Technology (IT) networks
increasingly merged with Operational Technology (OT) networks, which have traditionally …
increasingly merged with Operational Technology (OT) networks, which have traditionally …
Convolutional neural network for intrusion detection using blockchain technology
Cyber-physical systems (CPS) are becoming increasingly ubiquitous, connecting the
physical world with the cyber realm. This convergence has exposed CPS to a growing threat …
physical world with the cyber realm. This convergence has exposed CPS to a growing threat …
Distributed deep learning approach for intrusion detection system in industrial control systems based on big data technique and transfer learning
Industry 4.0 refers to a new generation of connected and intelligent factories that is driven by
the emergence of new technologies such as artificial intelligence, Cloud computing, Big …
the emergence of new technologies such as artificial intelligence, Cloud computing, Big …
Towards data fusion-based big data analytics for intrusion detection
F Jemili - Journal of Information and Telecommunication, 2023 - Taylor & Francis
Intrusion detection is seen as the most promising way for computer security. It is used to
protect computer networks against different types of attacks. The major problem in the …
protect computer networks against different types of attacks. The major problem in the …
Deep learning for intrusion detection in IoT networks
The rapid proliferation of Internet of Things (IoT) devices has transformed our daily lives,
introducing innovations like smart homes, wearables, and advanced industrial automation …
introducing innovations like smart homes, wearables, and advanced industrial automation …
Active intrusion detection and prediction based on temporal big data analytics
Computer security consists in protecting access and manipulating system data by several
mechanisms. However, conventional protection technologies are ineffective against current …
mechanisms. However, conventional protection technologies are ineffective against current …
Intrusion Detection and Prevention in Industrial Internet of Things: A Study
N Jeffrey, Q Tan, JR Villar - … Intelligence in Security for Information Systems …, 2023 - Springer
Abstract The Industrial Internet of Things (IIoT) brings the ubiquitous connectivity of the
Internet of Things (IoT) to industrial processes, optimizing manufacturing and civil …
Internet of Things (IoT) to industrial processes, optimizing manufacturing and civil …
Intrusion detection based on concept drift detection and online incremental learning
Purpose The primary purpose of this paper is to introduce the drift detection method-online
random forest (DDM-ORF) model for intrusion detection, combining DDM for detecting …
random forest (DDM-ORF) model for intrusion detection, combining DDM for detecting …
A Fuzzy Colored Petri-Net Approach for Hybrid Intrusion Prediction
F Jemili - 2023 - researchsquare.com
Reducing the impact of computer attacks is crucial, and Intrusion Detection Systems (IDS)
are an important tool in achieving this goal. However, IDSs have limitations and are unable …
are an important tool in achieving this goal. However, IDSs have limitations and are unable …