Cybersecurity and Industry 4.0 – The Next Frontier for Advanced Manufacturing


A sparse over a year ago, a long-time colleague of mine, Professor Dirk Schaefer, and I started act on on a book project. We set out on a new journey to produce an edited book for Springer Foreign Publishing. Dirk and I have been conducting research together for hither a decade, and our work has been mostly concerned with the intersection of low-down technology, advanced manufacturing and cybersecurity.Recently, our work has focused on go forward manufacturing within the domain of Industry 4.0, which is sometimes referred to as the 4th Industrial Orbit. In a nutshell, Industry 4.0 deals with the technologies required to get what we call “smart manufacturing.” Smart manufacturing is achievable contemning modern technologies, such as the Internet of Things (IoT), the Industrial Internet of Elements (IIoT), automation, cloud computing, Big Data processing, and highly combined communication capabilities between all aspects of an advanced manufacturing environment (from the workshop floor to the IT front and back offices to the cloud to supply-chains and etc.).One very conspicuous aspect to the Industry 4.0 puzzle is cybersecurity. Without it, we will not in a million years be able to achieve the full potential of the Industry 4.0 vision. I allow there are vast opportunities on the horizon with Industry 4.0, with numerous unpredicted outcomes which will spur economic growth and significantly gain societies all over the world in terms of new career opportunities. However, as an arrange working in cybersecurity, I know that the path will not be easy.In fraternity to make our mark on this endeavor, Dirk and I decided to focus our tome on Cybersecurity and Industry 4.0. After over a year’s worth of get ready, our book, titled Cybersecurity for Industry 4.0: Analysis for Design and Inventing, is now available via Springer Publishing and Amazon. Colleges and universities that accept library subscriptions with Springer have full access to all of the chapters. Besides, the book is available as a hardcover and in electronic copy. In the next few paragraphs, I’ll make over you an overview of each chapter in our book.The objective of the book is to introduce readers to new enquiry on cybersecurity for the Industry 4.0 landscape with an emphasis on Design and Make up applications. It covers the technological foundations of cybersecurity within this territory and addresses existing threats faced by Industry 4.0 sectors along with continuing state-of-the-art solutions. To provide a holistic perspective, the topic is discussed from the angles of both practical implementations in industry and cutting-edge academic research. This way, it gains practicing engineers and decision-makers in industry, as well as researchers and educators in the conceive of and manufacturing communities.In Chapter 1, “Industry 4.0: An Overview of Key Helps, Technologies, and Challenges,” Dirk and I provide details of Industry 4.0 technologies and paradigms to make the reader with a good background of Industry 4.0 basics. The goal of this chapter is to give the reader a better understanding of the cybersecurity point of views of the remaining chapters in the book.In Chapter 2, “Customized Encryption of CAD Exemplars for Cloud-enabled Collaborative Product Development,” Cai, Wang, Lu, and Li introduce an innovative and customized encryption attitude to support secure product development collaboration. Their goal is to justify the security of sensitive information in CAD models such as private intellectual worth while simultaneously allowing the models to be shared in the cloud for effective issue development collaboration across organizational boundaries.Wegner, Graham and Ribble in in Chapter 3, titled “A New Approach to Cyber Physical Security in Hustle 4.0,” a new paradigm using a direct-to-machine communication approach that limits and tends information flows to internal and subcontracted factory floor devices to consummation perimeter security. The authors believe this to be an essential first harmonious with in creating secure manufacturing for Industry 4.0.Chapter 4 introduces the reader to Forensic Review within the IIoT. In this chapter titled “SCADA System Forensic Enquiry within IIoT,” Eden et al. focus on the need for incident response within Energy 4.0 environments. The chapter focuses on the forensic challenges and analysis within an IIoT and its fleshly infrastructure.In Chapter 5, “Big Data Security Intelligence for Healthcare Effort 4.0,” Manogaran et al. provide an overview of how the healthcare industry can be viewed as an Hustle 4.0 paradigm. The healthcare industry has started using technology meant on the IoT and the IIoT. The data generated by healthcare ‘things’ should be managed with fastness and privacy in mind. The authors introduce their Meta Cloud-Redirection architecture and tell of the security and privacy aspects of it.In Chapter 6, “Decentralized Cyber Concrete Systems: A Paradigm for Cloud-based Smart Factory of Industry 4.0,” Zhang et al. announce the conceptual model and operation mechanism of decentralized cyber-physical systems (CPS), which capacitates manufacturers to utilize a cloud-based agent approach to create an intelligent collaborative mise en scene for product creation. Similar to Chapter 1, Chapter 6 details sundry key underlying technologies of Industry 4.0.Chapter 7 introduces the reader to direct digital putting out and its cybersecurity needs. In this chapter, titled “Applying and Assessing Cybersecurity Curbs for Direct Digital Manufacturing (DDM) Systems,” Glavach, LaSalle-DeSantis and Zimmerman address cybersecurity risks to the DDM community. They provide a case study detailing a security assessment depicted on an additive manufacturing system and present protocols and recommendations for security first-class practices for DDM systems.In Chapter 8, “The Resource Usage Viewpoint of Industrial Power System Security: An Inference-based Intrusion Detection System,” Nair et al. initiate cybersecurity mechanisms for Industrial Control Systems. Their premise is that one can deduce CPU load by remotely profiling the network traffic emitted by an ICS device and use that conclusion to detect potentially malicious modifications to the behavior of the ICS device.In Chapter 9, “Hard-headed Security Aspects of the Internet of Things,” Mehnen et al. introduce a set of key security versions related to the implementation of the IoT in an industrial mechanical engineering context. The authors state look after a real-world example concerning remote maintenance of CNC machine tools, which emblazons the different threat scenarios related to IoT in practice.The authors detail heterogeneous aspects of Big Data and Cloud Manufacturing but focus on improving security at the Anxious of IoT, which is where data is collected, transmitted, and eventually transferred abet to the physical actuators. The authors aim is to introduce a generic overview of real-world IoT safe keeping issues as well as giving a deeper technical example-supported insight into judicious considerations for designing IoT systems for practical use in business.Finally, the book concludes with Chapter 10, “Cybersecurity for Business 4.0 and Advanced Manufacturing Environments with Ensemble Intelligence.” In this terminating chapter, Dirk and I discuss how machine learning approaches using whole intelligence can be achieved. Ensemble intelligence is a promising technique that utilizes multiple motor car learning instances to solve a given problem. The idea is based on collective wisdom whereby the answer to a problem is often more accurate when answered collectively than when answered solely by any free entity within the collection.For example, many types of game authenticates use a form of this technique when contestants are given an opportunity to plea a question using help from the audience. It turns out that within the car learning world, this technique proves to be very beneficial in reconciles of producing intelligent systems that have higher levels of classification and augury accuracy.Building on this idea of ensemble intelligence, we describe in Chapter 10 how cyberattack detection and effect mechanisms can be integrated into a Software-Defined Cloud Manufacturing system. The cyberattack detection algorithm related in this chapter is based on ensemble intelligence using a collection of neural networks whose achievements are fed into a neuro-evolved neural network oracle. The neuro-evolved oracle is a feed-forward, imitation neural network whose design parameters such as the number of neural nodes, the edition of hidden layers, and the types of activation functions used by the oracle are decided in an optimal manner by using a genetic algorithm for the parameter selection change.The oracle produces an optimized classification output that is used to fix up with provision feedback to active attack response mechanisms within the software-defined cloud put together system. The underlying goal of this chapter is to show how machine information approaches can be used to defend critical Industry 4.0 systems as affectionately as other Internet-driven systems.This book is one of the first collections of forms related to various aspects of Industry 4.0 and its cybersecurity needs. Sanguinely, this collection of work will make a small contribution to the all-inclusive goal of achieving higher levels of security in our advanced manufacturing environments of the near-tomorrow. If you scan the book, we hope you will find it to be informative and useful for your cybersecurity and Trade 4.0 research efforts.

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