Deep learning for anomaly detection in multivariate time series: Approaches, applications, and challenges

G Li, JJ Jung - Information Fusion, 2023 - Elsevier
Anomaly detection has recently been applied to various areas, and several techniques
based on deep learning have been proposed for the analysis of multivariate time series. In …

[HTML][HTML] SCADA vulnerabilities and attacks: A review of the state‐of‐the‐art and open issues

M Alanazi, A Mahmood, MJM Chowdhury - Computers & security, 2023 - Elsevier
Supervisory control and data acquisition (SCADA) serves as the backbone of several critical
infrastructures, including water supply systems, oil pipelines, transportation and electricity. It …

Secure intelligent fuzzy blockchain framework: Effective threat detection in iot networks

A Yazdinejad, A Dehghantanha, RM Parizi… - Computers in …, 2023 - Elsevier
Integrating blockchain into the Internet of Things (IoT) for security is a new development in
computational communication systems. While security threats are changing their strategies …

Design and development of RNN anomaly detection model for IoT networks

I Ullah, QH Mahmoud - IEEE Access, 2022 - ieeexplore.ieee.org
Cybersecurity is important today because of the increasing growth of the Internet of Things
(IoT), which has resulted in a variety of attacks on computer systems and networks. Cyber …

Light-weight federated learning-based anomaly detection for time-series data in industrial control systems

HT Truong, BP Ta, QA Le, DM Nguyen, CT Le… - Computers in …, 2022 - Elsevier
With the emergence of the Industrial Internet of Things (IIoT), potential threats to smart
manufacturing systems are increasingly becoming challenging, causing severe damage to …

Distributed anomaly detection in smart grids: a federated learning-based approach

J Jithish, B Alangot, N Mahalingam, KS Yeo - IEEE Access, 2023 - ieeexplore.ieee.org
The smart grid integrates Information and Communication Technologies (ICT) into the
traditional power grid to manage the generation, distribution, and consumption of electrical …

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 …

Generalizing intrusion detection for heterogeneous networks: A stacked-unsupervised federated learning approach

G de Carvalho Bertoli, LAP Junior, O Saotome… - Computers & …, 2023 - Elsevier
The constantly evolving digital transformation imposes new requirements on our society.
Aspects relating to reliance on the networking domain and the difficulty of achieving security …

Detecting Electrocardiogram Arrhythmia Empowered With Weighted Federated Learning

RN Asif, A Ditta, H Alquhayz, S Abbas, MA Khan… - IEEE …, 2023 - ieeexplore.ieee.org
In this study, a weighted federated learning approach is proposed for electrocardiogram
(ECG) arrhythmia classification. The proposed approach considers the heterogeneity of data …

[HTML][HTML] Industrial cyber-physical systems protection: A methodological review

R Canonico, G Sperlì - Computers & Security, 2023 - Elsevier
Ubiquitous utilization of Information and Communication Technologies in modern
manufacturing plants has transformed them into Cyber-Physical Systems (CPSs), making …