Secure and Sustainable Mechatronic Systems

Erscheinungsjahr 2027
ISBN: 978-981-9280-99-5
Verlag: Springer

Buch, Englisch, 197 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Emerging Trends in Mechatronics

Includes a review of AI and machine learning for topology optimisation and generative design in additive manufacturing. A mechatronic system must be dependable in two distinct senses. It must resist attack through the interfaces by which it is operated, and it must be built and maintained in ways that do not exhaust the resources it depends on. This book treats those two requirements together, on the view that both are properties of how a system is designed rather than features added to it afterwards.

Two chapters address security where it meets operational technology. Engineering workstations used for machine programming and controller configuration are routinely exposed to removable media, and the first chapter develops a forensic intelligence framework for reconstructing what was connected and what was transferred. The second turns to phishing, a common initial access vector in attacks on manufacturing and utilities, and grounds a language model’s judgement in retrieved evidence rather than generation alone, reporting the false-positive behaviour that determines whether such a system is deployable.

The remaining chapters address sustainability and biomedical systems modelling. A review examines how artificial intelligence has accelerated topology optimisation and generative design in additive manufacturing to the point where lightweight, load-path-optimised components are produced routinely, treating data scarcity, interpretability and certification as the real barriers. The closing chapter develops a compartmental model of tick-borne disease transmission and its stability behaviour, framed so that the derived thresholds could trigger a sensor-driven surveillance system

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Azizi, Aydin

Fachgebiete

• Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau
• Technische Wissenschaften Bauingenieurwesen Gebäudesicherheit
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Geistes- und Sozialwissenschaften
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik

Inhaltsverzeichnis

MacUSB Forensic Intelligence: Removable-Media Threat Detection and Digital Forensics for Engineering Workstations in Mechatronic Environments.- Artificial Intelligence and Machine Learning-Driven Topology Optimization and Generative Design in Additive Manufacturing: A Review.- Retrieval-Augmented Generation for Phishing Detection in Industrial and Mechatronic Organizations: Comparing Retrieval Contexts, Search Strategies, and Large Language Models.- Mathematical Modeling of Human-Tick Co-Infection Dynamics in Crimean-Congo Hemorrhagic Fever: A Stability Analysis Framework for Biomedical Systems.

Über Autor(innen)

Dr. Aydin Aziziholds a Ph.D. in Mechanical Engineering with a specialisation in Mechatronics, an M.Sc. in Mechatronics, and a B.Sc. in Mechanical Engineering. He is a fellow of the Higher Education Academy, an official instructor for the Siemens Mechatronic Systems Certification Program (SMSCP), and an editor-in-chief of the Emerging Trends in Mechatronics book series published by Springer Nature. He currently serves as a senior lecturer and the Academic Partnership Liaison Manager at Oxford Brookes University. His current research focuses on investigating and developing novel techniques to model, control and optimise complex systems, with expertise in control and automation, artificial intelligence and simulation techniques.