Machine learning blockchain next generation (6 Ergebnisse)

Zustand: New. Vinod Patil holds a Ph.D. in Electronics Engineering with specialization in Wireless Communication. His core research areas include wireless communication, cognitive radio, spectrum management, and smart grid technologies. With a strong academic b.

Buch. Zustand: Neu. Neuware - AI, Machine Learning, and Blockchain for Next-Generation Spectrum Management presents a forward-looking exploration of how artificial intelligence, machine learning, and blockchain technologies are transforming spectrum management in the era of 5G and emerging 6G networks. Bridging engineering innovation with regulatory insight, it offers a comprehensive guide to dynamic, secure, and decentralized spectrum strategies. With real-world case studies, simulation-validated architectures, and actionable policy frameworks, the book serves researchers, engineers, and policymakers shaping the future of wireless communication infrastructure.Key Features - Uniquely synthesizes AI, ML, and blockchain for intelligent spectrum governance - Covers real-world deployments including CBRS, smart grid systems, and IoT-based intelligent transportation networks - Comprehensively addresses both technical architectures and regulatory frameworks, including 3GPP Release 18, ETSI, and Ofcom standards - Globally integrates perspectives from academia, industry, and policy institutions.…

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The rapid expansion of IoT and cloud-enabled wireless systems has created significant security challenges, particularly for resource-constrained devices with limited energy, computational capacity, and network resources. These constraints make IoT nodes highly susceptible to cyber threats, including Distributed Denial-of-Service (DDoS) attacks, Sybil attacks, packet tampering, data manipulation, and unauthorized access. To address these challenges, this research proposes an intelligent and integrated security framework that combines machine learning-based anomaly detection, blockchain-enabled authentication, and bio-inspired optimization techniques to enhance security, trustworthiness, scalability, and overall network performance. The framework utilizes supervised multiclass and one-class machine learning classifiers to identify both known and previously unseen anomalies in near real time using measurable network and communication parameters. To ensure data integrity, transparency, and decentralized trust management, a blockchain architecture incorporating a novel Proof of Iterative Trust (PoIT) consensus mechanism is employed. Furthermore, cloud-scale efficiency is improved.…

Taschenbuch. Zustand: Neu. AI Enhanced Blockchain Security for IoT Networks | Machine Learning, Bio Inspired Optimization, and Trust Driven Architectures for Next Generation Networks | Shubhangi Rathkanthiwar (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786630145168 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.…

Hardcover. Zustand: new. Hardcover. AI, Machine Learning, and Blockchain for Next-Generation Spectrum Management presents a forward-looking exploration of how artificial intelligence, machine learning, and blockchain technologies are transforming spectrum management in the era of 5G and emerging 6G networks. Bridging engineering innovation with regulatory insight, it offers a comprehensive guide to dynamic, secure, and decentralized spectrum strategies. With real-world case studies, simulation-validated architectures, and actionable policy frameworks, the book serves researchers, engineers, and policymakers shaping the future of wireless communication infrastructure.Key FeaturesUniquely synthesizes AI, ML, and blockchain for intelligent spectrum governanceCovers real-world deployments including CBRS, smart grid systems, and IoT-based intelligent transportation networksComprehensively addresses both technical architectures and regulatory frameworks, including 3GPP Release 18, ETSI, and Ofcom standardsGlobally integrates perspectives from academia, industry, and policy institutions. AI, Machine Learning, and Blockchain for Next-Generation Spectrum Management presents a forward-looking exploration of how artificial intelligence, machine learning, and blockchain technologies are transforming spectrum management in the era of 5G and emerging 6G networks. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Zustand: new. Hardcover. AI, Machine Learning, and Blockchain for Next-Generation Spectrum Management presents a forward-looking exploration of how artificial intelligence, machine learning, and blockchain technologies are transforming spectrum management in the era of 5G and emerging 6G networks. Bridging engineering innovation with regulatory insight, it offers a comprehensive guide to dynamic, secure, and decentralized spectrum strategies. With real-world case studies, simulation-validated architectures, and actionable policy frameworks, the book serves researchers, engineers, and policymakers shaping the future of wireless communication infrastructure.Key FeaturesUniquely synthesizes AI, ML, and blockchain for intelligent spectrum governanceCovers real-world deployments including CBRS, smart grid systems, and IoT-based intelligent transportation networksComprehensively addresses both technical architectures and regulatory frameworks, including 3GPP Release 18, ETSI, and Ofcom standardsGlobally integrates perspectives from academia, industry, and policy institutions. AI, Machine Learning, and Blockchain for Next-Generation Spectrum Management presents a forward-looking exploration of how artificial intelligence, machine learning, and blockchain technologies are transforming spectrum management in the era of 5G and emerging 6G networks. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…