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相关论文: A Survey of Cybersecurity of Digital Manufacturing

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Industry 4.0 is a blend of the hyper-connected digital industry within two world of Information Technology (IT) and Operational Technology (OT). With this amalgamate opportunity, smart manufacturing involves production assets with the…

密码学与安全 · 计算机科学 2023-04-21 Rahat Masum

Digital Manufacturing (DM) refers to the on-going adoption of smarter, more agile manufacturing processes and cyber-physical systems. This includes modern techniques and technologies such as Additive Manufacturing (AM)/3D printing, as well…

密码学与安全 · 计算机科学 2023-01-26 Prithwish Basu Roy , Mudit Bhargava , Chia-Yun Chang , Ellen Hui , Nikhil Gupta , Ramesh Karri , Hammond Pearce

In Industry 4.0, the digital twin is one of the emerging technologies, offering simulation abilities to predict, refine, and interpret conditions and operations, where it is crucial to emphasize a heightened concentration on the associated…

系统与控制 · 电气工程与系统科学 2024-12-19 Alexander D. Zemskov , Yao Fu , Runchao Li , Xufei Wang , Vispi Karkaria , Ying-Kuan Tsai , Wei Chen , Jianjing Zhang , Robert Gao , Jian Cao , Kenneth A. Loparo , Pan Li

Digital technologies have changed the way supply chain operations are structured. In this article, we conduct systematic syntheses of literature on the impact of new technologies on supply chains and the related cyber risks. A…

Digital manufacturing (DM) cyber-physical system is vulnerable to both cyber and physical attacks. HACK3D is a series of crowdsourcing red-team-blue-team events hosted by the NYU Center for Cybersecurity to assess the strength of the…

密码学与安全 · 计算机科学 2025-08-21 Michael Linares , Nishant Aswani , Gary Mac , Chenglu Jin , Fei Chen , Nikhil Gupta , Ramesh Karri

This provocation paper provides an overview of the underlying optimisation problem in the emerging field of Digital Manufacturing. Initially, this paper discusses how the notion of Digital Manufacturing is transforming from a term…

人工智能 · 计算机科学 2016-09-20 Martin Baumers , Ender Ozcan

The concept of Industry 4.0 brings a disruption into the processing industry. It is characterised by a high degree of intercommunication, embedded computation, resulting in a decentralised and distributed handling of data. Additionally,…

密码学与安全 · 计算机科学 2019-05-17 Simon D. Duque Anton , Mathias Strufe , Hans Dieter Schotten

The potential of digital twin technology is yet to be fully realized due to its diversity and untapped potential. Digital twins enable systems' analysis, design, optimization, and evolution to be performed digitally or in conjunction with a…

The globalization of markets and world-wide competition forces manufacturing enterprises to enter into alliances leading to the creation of distributed manufacturing enterprises. Before forming a partnership it is essential to evaluate…

分布式、并行与集群计算 · 计算机科学 2019-03-14 Sameh M. Saad , Terrence Perera , Ruwan Wickramarachchi

Digital Twin (DT) has gained great interest as an innovative technology in Industry 4.0 that enables advanced modeling, simulation, and optimization of service and manufacturing systems. This article provides an extensive review of the…

综合数学 · 数学 2026-01-26 Sarow Saeedi

Modern industrial systems face a growing threat from sophisticated cyberattacks that can cause significant operational disruptions. This work presents a novel methodology for identification of the most critical cyberattacks that may disrupt…

系统与控制 · 电气工程与系统科学 2024-05-31 Bruno Paes Leao , Jagannadh Vempati , Siddharth Bhela , Tobias Ahlgrim , Daniel Arnold

Industry 4.0 involves the integration of digital technologies, such as IoT, Big Data, and AI, into manufacturing and industrial processes to increase efficiency and productivity. As these technologies become more interconnected and…

Design For Manufacturing (DFM) approaches aim to integrate manufacturability aspects during the design stage. Most of DFM approaches usually consider only one manufacturing process, but products competitiveness may be improved by designing…

其他计算机科学 · 计算机科学 2011-06-17 Olivier Kerbrat , Pascal Mognol , Jean-Yves Hascoët

The technology landscape is richer and more promising than ever before. In many ways, cloud computing, big data, virtual reality (VR), augmented reality (AR), blockchain, additive manufacturing, artificial intelligence (AI), machine…

计算机与社会 · 计算机科学 2018-10-19 Nicole M. Radziwill

By amalgamating recent communication and control technologies, computing and data analytics techniques, and modular manufacturing, Industry~4.0 promotes integrating cyber-physical worlds through cyber-physical systems (CPS) and digital twin…

信息论 · 计算机科学 2021-08-11 Shah Zeb , Aamir Mahmood , Syed Ali Hassan , MD. Jalil Piran , Mikael Gidlund , Mohsen Guizani

Widespread interest in the emerging area of predictive analytics is driving industries such as manufacturing to explore new approaches to the collection and management of data provided from Industrial Internet of Things (IIoT) devices.…

密码学与安全 · 计算机科学 2019-01-23 Hussain Al-Aqrabi , Richard Hill , Phil Lane , Hamza Aagela

The last decades have been characterized by unprecedented technological advances, many of them powered by modern technologies such as Artificial Intelligence (AI) and Machine Learning (ML). The world has become more digitally connected than…

密码学与安全 · 计算机科学 2024-01-04 Marc Schmitt

The rapid development of digital economy has led to the emergence of various black and shadow internet industries, which pose potential risks that can be identified and managed through digital risk management (DRM) that uses different…

计算机与社会 · 计算机科学 2023-05-31 Qichao Wang , Huan Ma , Wentao Wei , Hangyu Li , Liang Chen , Peilin Zhao , Binwen Zhao , Bo Hu , Shu Zhang , Zibin Zheng , Bingzhe Wu

The onward development of information and communication technology has led to a new industrial revolution called Industry 4.0. This revolution involves Cyber-Physical Production Systems (CPPS), which consist of intelligent Cyber-Physical…

密码学与安全 · 计算机科学 2019-05-16 David Hofbauer , Igor Ivkic , Silia Maksuti , Andreas Aldrian , Markus Tauber

Digital twins (DTs) are an emerging capability in additive manufacturing (AM), set to revolutionize design optimization, inspection, in situ monitoring, and root cause analysis. AM DTs typically incorporate multimodal data streams, ranging…

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