[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 …

[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 …

Convolutional neural network for intrusion detection using blockchain technology

A Aljabri, F Jemili, O Korbaa - International Journal of Computers …, 2024 - Taylor & Francis
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 …

Distributed deep learning approach for intrusion detection system in industrial control systems based on big data technique and transfer learning

A Abid, F Jemili, O Korbaa - Journal of Information and …, 2023 - Taylor & Francis
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 …

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 …

Deep learning for intrusion detection in IoT networks

M Selem, F Jemili, O Korbaa - Peer-to-Peer Networking and Applications, 2025 - Springer
The rapid proliferation of Internet of Things (IoT) devices has transformed our daily lives,
introducing innovations like smart homes, wearables, and advanced industrial automation …

Active intrusion detection and prediction based on temporal big data analytics

F Jemili, O Korbaa - International Journal of Knowledge …, 2024 - journals.sagepub.com
Computer security consists in protecting access and manipulating system data by several
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 …

Intrusion detection based on concept drift detection and online incremental learning

F Jemili, K Jouini, O Korbaa - International Journal of Pervasive …, 2025 - emerald.com
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 …

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 …