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 …

Crossing roads of federated learning and smart grids: Overview, challenges, and perspectives

H Bousbiat, R Bousselidj, Y Himeur, A Amira… - arXiv preprint arXiv …, 2023 - arxiv.org
Consumer's privacy is a main concern in Smart Grids (SGs) due to the sensitivity of energy
data, particularly when used to train machine learning models for different services. These …

Explainable artificial intelligence (xai) for internet of things: a survey

I Kök, FY Okay, Ö Muyanlı… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Artificial intelligence (AI) and machine learning (ML) are widely employed to make the
solutions more accurate and autonomous in many smart and intelligent applications in the …

A survey on explainable artificial intelligence for cybersecurity

G Rjoub, J Bentahar, OA Wahab… - … on Network and …, 2023 - ieeexplore.ieee.org
The “black-box” nature of artificial intelligence (AI) models has been the source of many
concerns in their use for critical applications. Explainable Artificial Intelligence (XAI) is a …

Trans-Lighter: A light-weight federated learning-based architecture for Remaining Useful Lifetime prediction

NH Du, NH Long, KN Ha, NV Hoang, TT Huong… - Computers in …, 2023 - Elsevier
Predictive maintenance (PdM) plays an important role in industrial manufacturing. One of the
most fundamental ideas underlying many PdM solutions is to estimate Remaining Useful …

Federated learning for green and sustainable 6G IIoT applications

VK Quy, DC Nguyen, D Van Anh, NM Quy - Internet of Things, 2024 - Elsevier
The 6th generation mobile network (6G) is expected to be launched in the early 2030s. The
architecture of 6G will be the convergence of space, air, ground, and undersea networks …

IP2FL: Interpretation-Based Privacy-Preserving Federated Learning for Industrial Cyber-Physical Systems

D Namakshenas, A Yazdinejad… - … on Industrial Cyber …, 2024 - ieeexplore.ieee.org
The expansion of Industrial Cyber-Physical Systems (ICPS) has introduced new challenges
in security and privacy, highlighting a research gap in effective anomaly detection while …

An incremental unified framework for small defect inspection

J Tang, H Lu, X Xu, R Wu, S Hu, T Zhang… - … on Computer Vision, 2025 - Springer
Artificial Intelligence (AI)-driven defect inspection is pivotal in industrial manufacturing.
However, existing inspection systems are typically designed for specific industrial products …

Multi-level federated learning for industry 4.0-a crowdsourcing approach

I Ullah, UU Hassan, MI Ali - Procedia Computer Science, 2023 - Elsevier
Federated learning is one of the emerging areas of research in computer science. It has
shown great potential in some application areas and we are witnessing evidence of new …

[HTML][HTML] Explainable AI in manufacturing and industrial cyber–physical systems: a survey

S Moosavi, M Farajzadeh-Zanjani, R Razavi-Far… - Electronics, 2024 - mdpi.com
This survey explores applications of explainable artificial intelligence in manufacturing and
industrial cyber–physical systems. As technological advancements continue to integrate …