Sudan Jha – författare

Internet of Things in Biomedical Engineering presents the most current research in Internet of Things (IoT) applications for clinical patient monitoring and treatment. The book takes a systems-level approach for both human-factors and the technical aspects of networking, databases and privacy. Sections delve into the latest advances and cutting-edge technologies, starting with an overview of the Internet of Things and biomedical engineering, as well as a focus on 'daily life.' Contributors from various experts then discuss 'computer assisted anthropology,' CLOUDFALL, and image guided surgery, as well as bio-informatics and data mining.

This comprehensive coverage of the industry and technology is a perfect resource for students and researchers interested in the topic.

Industrial Internet of Things: Technologies, Design, and Applications addresses the complete functional framework workflow in IoT technology. It explores basic and high-level concepts, thus serving as a manual for those in the industry while also helping beginners. The book incorporates the working methodology of Industrial IoT works, is based on the latest technologies, and will cover the major challenges, issues, and advances while exploring data-based intelligent and automated systems and their implications to the real world. The book discusses data acquisition, security, learning, intelligent data analysis, and case studies related to Industrial IoT-based applications.

Industrial Internet of Things: Technologies, Design, and Applications addresses the complete functional framework workflow in IoT technology. It explores basic and high-level concepts, thus serving as a manual for those in the industry while also helping beginners. The book incorporates the working methodology of Industrial IoT works, is based on the latest technologies, and will cover the major challenges, issues, and advances while exploring data-based intelligent and automated systems and their implications to the real world. The book discusses data acquisition, security, learning, intelligent data analysis, and case studies related to Industrial IoT-based applications.

This book highlights authentication and trust evaluation models in the Industrial Internet of Things. It further discusses data breaches and security issues in various Artificial Intelligence-enabled systems and uses Blockchain to resolve the challenges faced by the Industrial Internet of Things. The text showcases performance quality assessment for the Industrial Internet of Things’ applications.

This book:

It is primarily written for graduate students and academic researchers in the fields of electrical engineering, electronics, and communications engineering, industrial and production engineering, computer science, and engineering.

This book highlights authentication and trust evaluation models in the Industrial Internet of Things. It further discusses data breaches and security issues in various Artificial Intelligence-enabled systems and uses Blockchain to resolve the challenges faced by the Industrial Internet of Things. The text showcases performance quality assessment for the Industrial Internet of Things’ applications.

This book:

It is primarily written for graduate students and academic researchers in the fields of electrical engineering, electronics, and communications engineering, industrial and production engineering, computer science, and engineering.

Industry 4.0, marked by the integration of cyber-physical systems, automation, and smart manufacturing, has greatly enhanced the intricacy and interconnectedness of industrial operations. Industrial Internet of Things (IIoT) systems allow for smooth communication and collaboration among machines, devices, and sensors, enabling real-time monitoring, data collection, and decision-making. As a result, this increased connectivity leaves IIoT networks vulnerable to a wider array of cyber threats, underscoring the need for more advanced security protocols.

Cognitive Security for Industrial IoT AI-Driven Approaches to Industry 4.0 examines cognitive security principles for IIoT environments, emphasizing artificial intelligence (AI) and machine learning (ML) in security measures. This book provides practical case studies and real-world examples while addressing the unique security challenges inherent in Industry 4.0 technologies. Key focus areas include predictive maintenance, proactive threat mitigation, behavioral analytics, emerging trends, and best practices for implementing cognitive security in industrial environments.

This comprehensive resource explores cutting-edge trends and future prospects in IIoT security, including quantum-resilient technologies and decentralized security frameworks. Readers will find step-by-step guidelines and proven best practices for implementing cognitive security in industrial settings. This practical approach equips both practitioners and organizations to effectively combat evolving cyber threats, making it an invaluable resource for staying ahead in cybersecurity''s rapidly changing landscape.

Industry 4.0, marked by the integration of cyber-physical systems, automation, and smart manufacturing, has greatly enhanced the intricacy and interconnectedness of industrial operations. Industrial Internet of Things (IIoT) systems allow for smooth communication and collaboration among machines, devices, and sensors, enabling real-time monitoring, data collection, and decision-making. As a result, this increased connectivity leaves IIoT networks vulnerable to a wider array of cyber threats, underscoring the need for more advanced security protocols.

Cognitive Security for Industrial IoT AI-Driven Approaches to Industry 4.0 examines cognitive security principles for IIoT environments, emphasizing artificial intelligence (AI) and machine learning (ML) in security measures. This book provides practical case studies and real-world examples while addressing the unique security challenges inherent in Industry 4.0 technologies. Key focus areas include predictive maintenance, proactive threat mitigation, behavioral analytics, emerging trends, and best practices for implementing cognitive security in industrial environments.

This comprehensive resource explores cutting-edge trends and future prospects in IIoT security, including quantum-resilient technologies and decentralized security frameworks. Readers will find step-by-step guidelines and proven best practices for implementing cognitive security in industrial settings. This practical approach equips both practitioners and organizations to effectively combat evolving cyber threats, making it an invaluable resource for staying ahead in cybersecurity''s rapidly changing landscape.