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Energy Science &Engineering, Volume 14, Issue 8, Page 3674-3696, August 2026.This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom +2 more
wiley +1 more source
Some Security Issues with the Industrial Internet of Things and Comparison to SCADA Systems
Информатика и автоматизация, 2020 An issue of the Internet of Things security which does not belong to the traditional problem of cybersecurity, as it is a local or distributed monitoring and/or monitoring of physical systems state connected via the Internet, is considered.
Georgi Rumenov Tsochev +2 more
doaj +1 more source
A security model for smart grid SCADA systems using stochastic neural network
IET Generation, Transmission & Distribution, 2023 Detection of cyber‐threats in the smart grid Supervisory Control and Data Acquisition (SCADA) is still remains one of the complex and essential processes need to be highly concentrated in present times.
Osama Bassam J. Rabie +5 more
doaj +1 more source
Autonomic Computing Architecture for SCADA Cyber Security [PDF]
International Journal of Cognitive Informatics and Natural Intelligence, 2017 Autonomic computing paradigm is based on intelligent computing systems that can autonomously take actions under given conditions. These technologies have been successfully applied to many problem domains requiring autonomous operation. One such area of national interest is SCADA systems that monitor critical infrastructures such as transportation ...
Sajid Nazir, Shushma Patel, Dilip Patel
openaire +2 more sources
Cybersecurity in aquaculture: Risks, governance, and future directions across production systems
Journal of the World Aquaculture Society, Volume 57, Issue 4, August 2026.Abstract Aquaculture is becoming increasingly dependent on connected sensors, remote monitoring, edge and cloud analytics, automation, and digital traceability; however, the cybersecurity evidence base remains fragmented and low‐trophic systems are markedly underrepresented.
Indrek Adler +3 more
wiley +1 more source
SCADA information security management guide
, 2007 Supervisory Control and Data Acquisition (SCADA) systems within the corporate environment are changing into information systems. As such, they also are becoming information assets within the organization and, therefore, they need to be protected ...
Mamos, Jakub
core +1 more source
Whitelists Based Multiple Filtering Techniques in SCADA Sensor Networks
Journal of Applied Mathematics, 2014 Internet of Things (IoT) consists of several tiny devices connected together to form a collaborative computing environment. Recently IoT technologies begin to merge with supervisory control and data acquisition (SCADA) sensor networks to more efficiently
DongHo Kang +3 more
doaj +1 more source
A Comprehensive Security Analysis of a SCADA Protocol: From OSINT to Mitigation
IEEE Access, 2019 It is an established fact that the security of Industrial Automation and Control Systems (IACS) strongly depends on the robustness of the underlying supervisory control and data acquisition (SCADA) network protocols (among other factors).
Luis Rosa +5 more
doaj +1 more source
An Ethereum Blockchain-Based Prototype for Data Security of Regulated Electricity Market
Inventions, 2020 Data security of present-day power systems, such as the electricity market, has spurred global interest in both industry and academia. The electricity market can either be regulated (state-controlled entrance, policies, and pricing) or deregulated (open ...
Aasim Ullah +3 more
doaj +1 more source
AI in chemical engineering: From promise to practice
AIChE Journal, Volume 72, Issue 7, July 2026.Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source