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Cyber Security Applications for Industry 4.0 (CSAI 4.0) provides integrated features of various disciplines in Computer Science, Mechanical, Electrical, and Electronics Engineering which are defined to be Smart systems. It is paramount that Cyber-Physical Systems (CPS) provide accurate, real-time monitoring and control for smart applications and services. With better access to information from real-time manufacturing systems in industrial sectors, the CPS aim to increase the overall equipment effectiveness, reduce costs, and improve efficiency. Industry 4.0 technologies are already enabling numerous applications in a variety of industries. Nonetheless, legacy systems and inherent vulnerabilities in an organization's technology, including limited security mechanisms and logs, make the move to smart systems particularly challenging.
Industry 4.0 is the set of technologies that organizations need to increase their innovation ambitions and respond quickly to market changes. Predictive
analytics, interconnect, Machine Learning (ML), and digital technologies are key areas of focus to transform the way businesses operate and thrive. From suppliers to consumers, Industry 4.0 will enable you to collect, analyze, and use information in real-time with the aim of refining and improving operations, designs, and products through rapid feedback, thereby increasing productivity.
Innovative technology for the creation of corporate software applications uses the most up-to-date technology. It is the study and design of computer systems capable of carrying out activities that would ordinarily require human intelligence. Visual perception, speech recognition, decision-making, and language translation are among these tasks. Systems capable of doing such tasks are gradually making their way from research labs to businesses. AI is distinct in that it may be applied in a variety of ways. The growing availability of IoT sensors, combined with improved network access, has led to a massively novel digital signal from which enterprises may profit. Every day, billions of sensors send massive volumes of data to the cloud, from smart homes to smart cities, and industrial sensors to self-driving automobiles. Artificial neural networks are a popular Machine Learning technique.
Industry 4.0 is meant for manufacturing sectors that aspire to remove the hurdles faced in collaborating and sharing data and information. Industry 4.0 enhances the process and modalities to be followed in data exchange while implementing automation in the manufacturing industry. One of the crucial parts of Industry 4.0 is guaranteeing cost-effectiveness in the assembling areas. Industry 4.0 comprises the following sectors: Industrial Internet of Things (IIoT), IoT, Smart factories, AI and Cloud Computing, and Big Data. The entire device components meant for the automation are connected and interact with humans. Such an interconnected setup is termed Cyber-Physical System (CPS). The cyber component is associated with the computer-based algorithm to control as well as monitor the process. As the entire assembling measure is on mechanization guaranteeing, security is a significant viewpoint for businesses. The core design aspects of Industry 4.0 are solving compatibility issues, decentralization, virtualization, and transparency. While implementing the core design aspects, a lack of knowledge about modalities in setting up the environment creates most of the security vulnerabilities.
Features
Proposes a conceptual framework for Industry 4.0-based Cyber Security Applications concerning the implementation aspect
Creates new business models for Industrialists on Control Systems and provides productive workforce transformation
Outlines the potential development and organization of Data Protection based on strategies of cybersecurity features and planning to work in the new area of Industry 4.0
Addresses the protection of plants from the frost and insects, automatic hydroponic irrigation techniques, smart industrial farming and crop management in agriculture relating to data security initiatives
The book is primarily aimed at industry professionals, academicians, and researchers for a better understanding of the secure data transition between the Industry 4.0 enabled connected systems and their limitations
Preface
A Detailed Investigation of Popular Attacks on Cyber Physical Systems
Applying Agile Practices in the Development of Industry 4.0 Applications
A Review of Security Vulnerabilities in Industry 4.0 Application and the Possible Solutions Using Blockchain
The Role of Cutting-Edge Technologies in Industry 4.0
Secure IoT Protocol for Implementing Classified Electroencephalogram (EEG) Signals in the Field of Smart Healthcare
Cybersecurity for Critical Energy Protection in Smart Cities
Emerging Industry Revolution IR 4.0 Issues and Challenges
IIoT-Based Secure Smart Manufacturing Systems in SMEs
The Role of Cybersecurity in Smart Cities
A Theoretical Framework on Enhancing Cloud Storage Security through Customized ECC Key Management Technique