Randhir Kumar – författare
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14 produkter
14 produkter
Inbunden, Engelska, 2024
2 132 kr
Skickas inom 10-15 vardagar
This book reviews research works in recent trends in blockchain, AI, and Digital Twin based IoT data analytics approaches for providing the privacy and security solutions for Fog-enabled IoT networks. Due to the large number of deployments of IoT devices, an IoT is the main source of data and a very high volume of sensing data is generated by IoT systems such as smart cities and smart grid applications. To provide a fast and efficient data analytics solution for Fog-enabled IoT systems is a fundamental research issue. For the deployment of the Fog-enabled-IoT system in different applications such as healthcare systems, smart cities and smart grid systems, security, and privacy of big IoT data and IoT networks are key issues. The current centralized IoT architecture is heavily restricted with various challenges such as single points of failure, data privacy, security, robustness, etc.This book emphasizes and facilitates a greater understanding of various security and privacy approaches using the advances in Digital Twin and Blockchain for data analysis using machine/deep learning, federated learning, edge computing and the countermeasures to overcome these vulnerabilities.
Häftad, Engelska, 2025
822 kr
Skickas inom 10-15 vardagar
This book reviews research works in recent trends in blockchain, AI, and Digital Twin based IoT data analytics approaches for providing the privacy and security solutions for Fog-enabled IoT networks. Due to the large number of deployments of IoT devices, an IoT is the main source of data and a very high volume of sensing data is generated by IoT systems such as smart cities and smart grid applications. To provide a fast and efficient data analytics solution for Fog-enabled IoT systems is a fundamental research issue. For the deployment of the Fog-enabled-IoT system in different applications such as healthcare systems, smart cities and smart grid systems, security, and privacy of big IoT data and IoT networks are key issues. The current centralized IoT architecture is heavily restricted with various challenges such as single points of failure, data privacy, security, robustness, etc.This book emphasizes and facilitates a greater understanding of various security and privacy approaches using the advances in Digital Twin and Blockchain for data analysis using machine/deep learning, federated learning, edge computing and the countermeasures to overcome these vulnerabilities.
Inbunden, Engelska, 2025
2 369 kr
Skickas inom 10-15 vardagar
In today’s rapidly evolving digital landscape, blockchain and artificial intelligence (AI) are at the forefront of transforming various industries, and education is no exception. The convergence of these two revolutionary technologies promises to reshape the modern education system by enhancing data security, promoting personalized learning, and creating decentralized frameworks for record-keeping and credentialing. This book delves into how blockchain and AI can drive a more inclusive, efficient, and secure educational ecosystem, where student-centered approaches and data integrity are paramount.This book is organized into several sections, each exploring the distinct roles of blockchain and AI within education. It begins with an introduction to the fundamental principles of these technologies and an overview of their individual strengths. Following this, chapters examine blockchain’s role in secure credential verification, decentralized learning platforms, and the protection of digital records. Next, the discussion shifts to AI applications, covering adaptive learning models, predictive analytics, and AI-driven administrative support. Finally, the book provides real-world case studies and future projections on how blockchain and AI together can tackle challenges in education, such as data privacy, resource distribution, and student engagement, ultimately creating an interconnected and resilient educational framework.This book is designed for educators, administrators, policymakers, technology enthusiasts, and researchers who are interested in the transformative potential of emerging technologies in education. It serves as a comprehensive guide for those looking to understand the practical applications and implications of blockchain and AI in the modern education system.
E-bok
PDF, Engelska, 2024891 kr
Läs direkt efter köp
This book reviews research works in recent trends in blockchain, AI, and Digital Twin based IoT data analytics approaches for providing the privacy and security solutions for Fog-enabled IoT networks. Due to the large number of deployments of IoT devices, an IoT is the main source of data and a very high volume of sensing data is generated by IoT systems such as smart cities and smart grid applications. To provide a fast and efficient data analytics solution for Fog-enabled IoT systems is a fundamental research issue. For the deployment of the Fog-enabled-IoT system in different applications such as healthcare systems, smart cities and smart grid systems, security, and privacy of big IoT data and IoT networks are key issues. The current centralized IoT architecture is heavily restricted with various challenges such as single points of failure, data privacy, security, robustness, etc.This book emphasizes and facilitates a greater understanding of various security and privacy approaches using the advances in Digital Twin and Blockchain for data analysis using machine/deep learning, federated learning, edge computing and the countermeasures to overcome these vulnerabilities.
E-bok
Engelska, 2024891 kr
Läs direkt efter köp
This book reviews research works in recent trends in blockchain, AI, and Digital Twin based IoT data analytics approaches for providing the privacy and security solutions for Fog-enabled IoT networks. Due to the large number of deployments of IoT devices, an IoT is the main source of data and a very high volume of sensing data is generated by IoT systems such as smart cities and smart grid applications. To provide a fast and efficient data analytics solution for Fog-enabled IoT systems is a fundamental research issue. For the deployment of the Fog-enabled-IoT system in different applications such as healthcare systems, smart cities and smart grid systems, security, and privacy of big IoT data and IoT networks are key issues. The current centralized IoT architecture is heavily restricted with various challenges such as single points of failure, data privacy, security, robustness, etc.This book emphasizes and facilitates a greater understanding of various security and privacy approaches using the advances in Digital Twin and Blockchain for data analysis using machine/deep learning, federated learning, edge computing and the countermeasures to overcome these vulnerabilities.
E-bok
Engelska, 2025964 kr
Läs direkt efter köp
In today’s rapidly evolving digital landscape, blockchain and artificial intelligence (AI) are at the forefront of transforming various industries, and education is no exception. The convergence of these two revolutionary technologies promises to reshape the modern education system by enhancing data security, promoting personalized learning, and creating decentralized frameworks for record-keeping and credentialing. This book delves into how blockchain and AI can drive a more inclusive, efficient, and secure educational ecosystem, where student-centered approaches and data integrity are paramount.
This book is organized into several sections, each exploring the distinct roles of blockchain and AI within education. It begins with an introduction to the fundamental principles of these technologies and an overview of their individual strengths. Following this, chapters examine blockchain’s role in secure credential verification, decentralized learning platforms, and the protection of digital records. Next, the discussion shifts to AI applications, covering adaptive learning models, predictive analytics, and AI-driven administrative support. Finally, the book provides real-world case studies and future projections on how blockchain and AI together can tackle challenges in education, such as data privacy, resource distribution, and student engagement, ultimately creating an interconnected and resilient educational framework.
This book is designed for educators, administrators, policymakers, technology enthusiasts, and researchers who are interested in the transformative potential of emerging technologies in education. It serves as a comprehensive guide for those looking to understand the practical applications and implications of blockchain and AI in the modern education system.
E-bok
PDF, Engelska, 2025964 kr
Läs direkt efter köp
In today’s rapidly evolving digital landscape, blockchain and artificial intelligence (AI) are at the forefront of transforming various industries, and education is no exception. The convergence of these two revolutionary technologies promises to reshape the modern education system by enhancing data security, promoting personalized learning, and creating decentralized frameworks for record-keeping and credentialing. This book delves into how blockchain and AI can drive a more inclusive, efficient, and secure educational ecosystem, where student-centered approaches and data integrity are paramount.
This book is organized into several sections, each exploring the distinct roles of blockchain and AI within education. It begins with an introduction to the fundamental principles of these technologies and an overview of their individual strengths. Following this, chapters examine blockchain’s role in secure credential verification, decentralized learning platforms, and the protection of digital records. Next, the discussion shifts to AI applications, covering adaptive learning models, predictive analytics, and AI-driven administrative support. Finally, the book provides real-world case studies and future projections on how blockchain and AI together can tackle challenges in education, such as data privacy, resource distribution, and student engagement, ultimately creating an interconnected and resilient educational framework.
This book is designed for educators, administrators, policymakers, technology enthusiasts, and researchers who are interested in the transformative potential of emerging technologies in education. It serves as a comprehensive guide for those looking to understand the practical applications and implications of blockchain and AI in the modern education system.
- Nyhet
E-bok
PDF, Engelska, 2026866 kr
Läs direkt efter köp
Blockchain and AI for Security and Privacy in Smart Agriculture provides an innovative outlook on how advanced technologies are redefining the future of farming. As smart agriculture increasingly integrates IoT devices, sensors, drones, and data analytics to enhance efficiency and sustainability, it also faces critical issues surrounding data privacy, security, and stakeholder trust. This book explores how blockchain and artificial intelligence (AI) effectively address these challenges. Blockchain's decentralized and tamper-proof system ensures secure data storage, transparency in agricultural processes, and end-to-end traceability within the supply chain-from producers to consumers. AI further strengthens this ecosystem by offering intelligent threat detection, predictive analytics, and real-time decision-making to enhance crop management, optimize resources, and mitigate risks. Targeted toward researchers, academics, policymakers, agri-tech entrepreneurs, and industry experts, this book combines foundational theory with real-world applications, case studies, and practical implementation models. It equips readers with the knowledge to design secure, privacy-preserving, and trustworthy smart farming systems that enhance productivity, reduce fraud, and build a sustainable agricultural future.Key features: Focuses on the latest development in Blockchain and AI Analytics in Smart Agriculture. Presents different issues of Security and Privacy in Smart Agriculture. Offers the latest Blockchain and AI models for security analytics in Smart Agriculture. Discusses the emerging role of Blockchain and AI Enabled Analytics and Technologies in detection of threats in Smart Agriculture. Presents the prospects on Blockchain and AI based Smart Agriculture Data Analytics and decision-making model.
- Nyhet
E-bok
Engelska, 2026866 kr
Läs direkt efter köp
Blockchain and AI for Security and Privacy in Smart Agriculture provides an innovative outlook on how advanced technologies are redefining the future of farming. As smart agriculture increasingly integrates IoT devices, sensors, drones, and data analytics to enhance efficiency and sustainability, it also faces critical issues surrounding data privacy, security, and stakeholder trust. This book explores how blockchain and artificial intelligence (AI) effectively address these challenges. Blockchain's decentralized and tamper-proof system ensures secure data storage, transparency in agricultural processes, and end-to-end traceability within the supply chain-from producers to consumers. AI further strengthens this ecosystem by offering intelligent threat detection, predictive analytics, and real-time decision-making to enhance crop management, optimize resources, and mitigate risks. Targeted toward researchers, academics, policymakers, agri-tech entrepreneurs, and industry experts, this book combines foundational theory with real-world applications, case studies, and practical implementation models. It equips readers with the knowledge to design secure, privacy-preserving, and trustworthy smart farming systems that enhance productivity, reduce fraud, and build a sustainable agricultural future.Key features: Focuses on the latest development in Blockchain and AI Analytics in Smart Agriculture. Presents different issues of Security and Privacy in Smart Agriculture. Offers the latest Blockchain and AI models for security analytics in Smart Agriculture. Discusses the emerging role of Blockchain and AI Enabled Analytics and Technologies in detection of threats in Smart Agriculture. Presents the prospects on Blockchain and AI based Smart Agriculture Data Analytics and decision-making model.
- Nyhet
E-bok
PDF, Engelska, 2026817 kr
Läs direkt efter köp
In today's interconnected world, advancing language education and communication skills is crucial for personal growth, career prospects, and cross-cultural understanding. The integration of AI in language learning and multilingual communication has revolutionized the field. It offers innovative solutions like language learning apps, real-time translation, and conversational agents. These AI-powered tools enhance language proficiency and fluency. They present opportunities for more effective and inclusive language education. There are, however, questions on AI's effectiveness, accessibility, and potential drawbacks. These include biases towards mainstream languages, varying accuracy, and reliability. Moreover, AI-driven language processing also raises ethical concerns related to privacy, data security, and cultural nuances that can potentially compromise interaction quality. This volume explores the transformative potential of AI in advancing language education and communication skills. It highlights benefits and challenges to foster reliable and inclusive AI-powered language solutions. It aims to ensure AI's effective integration and promote meaningful multilingual interactions, thereby enhancing the quality of language education and communication in today's globalized society.
- Nyhet
E-bok
Engelska, 2026817 kr
Läs direkt efter köp
In today's interconnected world, advancing language education and communication skills is crucial for personal growth, career prospects, and cross-cultural understanding. The integration of AI in language learning and multilingual communication has revolutionized the field. It offers innovative solutions like language learning apps, real-time translation, and conversational agents. These AI-powered tools enhance language proficiency and fluency. They present opportunities for more effective and inclusive language education. There are, however, questions on AI's effectiveness, accessibility, and potential drawbacks. These include biases towards mainstream languages, varying accuracy, and reliability. Moreover, AI-driven language processing also raises ethical concerns related to privacy, data security, and cultural nuances that can potentially compromise interaction quality. This volume explores the transformative potential of AI in advancing language education and communication skills. It highlights benefits and challenges to foster reliable and inclusive AI-powered language solutions. It aims to ensure AI's effective integration and promote meaningful multilingual interactions, thereby enhancing the quality of language education and communication in today's globalized society.
- Nyhet
Inbunden, Engelska, 2026
1 491 kr
Skickas inom 10-15 vardagar
Blockchain and AI for Security and Privacy in Smart Agriculture provides an innovative outlook on how advanced technologies are redefining the future of farming. As smart agriculture increasingly integrates IoT devices, sensors, drones, and data analytics to enhance efficiency and sustainability, it also faces critical issues surrounding data privacy, security, and stakeholder trust. This book explores how blockchain and artificial intelligence (AI) effectively address these challenges. Blockchain’s decentralized and tamper-proof system ensures secure data storage, transparency in agricultural processes, and end-to-end traceability within the supply chain—from producers to consumers. AI further strengthens this ecosystem by offering intelligent threat detection, predictive analytics, and real-time decision-making to enhance crop management, optimize resources, and mitigate risks. Targeted toward researchers, academics, policymakers, agri-tech entrepreneurs, and industry experts, this book combines foundational theory with real-world applications, case studies, and practical implementation models. It equips readers with the knowledge to design secure, privacy-preserving, and trustworthy smart farming systems that enhance productivity, reduce fraud, and build a sustainable agricultural future.Key features:Focuses on the latest development in Blockchain and AI Analytics in Smart Agriculture.Presents different issues of Security and Privacy in Smart Agriculture.Offers the latest Blockchain and AI models for security analytics in Smart Agriculture.Discusses the emerging role of Blockchain and AI Enabled Analytics and Technologies in detection of threats in Smart Agriculture.Presents the prospects on Blockchain and AI based Smart Agriculture Data Analytics and decision-making model.
- Nyhet
Inbunden, Engelska, 2026
1 449 kr
Skickas inom 10-15 vardagar
In today's interconnected world, advancing language education and communication skills is crucial for personal growth, career prospects, and cross-cultural understanding. The integration of AI in language learning and multilingual communication has revolutionized the field. It offers innovative solutions like language learning apps, real-time translation, and conversational agents. These AI-powered tools enhance language proficiency and fluency. They present opportunities for more effective and inclusive language education. There are, however, questions on AI's effectiveness, accessibility, and potential drawbacks. These include biases towards mainstream languages, varying accuracy, and reliability. Moreover, AI-driven language processing also raises ethical concerns related to privacy, data security, and cultural nuances that can potentially compromise interaction quality. This volume explores the transformative potential of AI in advancing language education and communication skills. It highlights benefits and challenges to foster reliable and inclusive AI-powered language solutions. It aims to ensure AI's effective integration and promote meaningful multilingual interactions, thereby enhancing the quality of language education and communication in today's globalized society.
E-bok
PDF, Engelska, 2023527 kr
Läs direkt efter köp
Doctoral Thesis / Dissertation from the year 2021 in the subject Computer Science - IT-Security, grade: A, , language: English, abstract: Blockchain is an emerging technology, leveraged with features of decentralization, tamper-proof records storage model based on a Peer-to-Peer architecture. It has been mostly applied in financial applications, and extended to various applications, viz., healthcare, supply-chain, and identity management. However, privacy, security, and scalability are the key challenges in blockchain-based applications that immensely limit the extensive adoption of these extended applications. The work in this thesis addresses the aforementioned challenges, while preserving better privacy, security, and scalability in blockchain-based applications. We propose access control techniques to facilitate better privacy, security in the blockchain network and improve scalability off-chain storage model. First, we propose an access control technique to preserve privacy across the blockchain network such that authorized peers can access the resources. Initially, the access control technique is designed for resource privacy. Further, we extend the policy to preserve privacy in blockchain network by categorizing both peers and resources. In this thesis, we also address another important problem, i.e., scalability in blockchain network while storing large size of data in secure off-chain storage. We use a secure distributed off-chain storage model to address the problem of scalability, based on the structure of the blockchain network. Lastly, we propose two-level of privacy preservation approach in blockchain network, while maintaining the scalability in the network. The proposed approach uses BlockCloud-BlockFog structure for deployment and IPFS-based off-chain storage model for large size data storage. All the proposed frameworks are evaluated using real-world data sets.