Cloud computing requires robust security mechanisms to protect sensitive information from evolving cyber threats. This book presents advanced hybrid Cryptographic solutions for secure cloud data sharing, integrating nature-inspired optimisation algorithms with modern encryption techniques. It covers an optimised DNA-based encryption framework using the Grey Wolf Optimiser (GWO). By efficiently exploring encryption parameter spaces, GWO identifies optimal configurations that enhance encryption strength, key sensitivity, and resistance to cryptanalytic attacks. A novel cryptographic key-generation approach that combines Binary Cuckoo Optimisation (BCO) with Homomorphic Encryption for secure computation over encrypted data is used. This hybrid framework facilitates the efficient generation of high-strength cryptographic keys, reducing computational overhead and execution time. The proposed framework improves data confidentiality and the security of information exchange in cloud environments and demonstrates the potential of optimisation-driven cryptographic frameworks for secure, privacy-preserving, and trustworthy cloud computing ecosystems.
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Paperback. Condición: new. Paperback. Cloud computing requires robust security mechanisms to protect sensitive information from evolving cyber threats. This book presents advanced hybrid Cryptographic solutions for secure cloud data sharing, integrating nature-inspired optimisation algorithms with modern encryption techniques. It covers an optimised DNA-based encryption framework using the Grey Wolf Optimiser (GWO). By efficiently exploring encryption parameter spaces, GWO identifies optimal configurations that enhance encryption strength, key sensitivity, and resistance to cryptanalytic attacks. A novel cryptographic key-generation approach that combines Binary Cuckoo Optimisation (BCO) with Homomorphic Encryption for secure computation over encrypted data is used. This hybrid framework facilitates the efficient generation of high-strength cryptographic keys, reducing computational overhead and execution time. The proposed framework improves data confidentiality and the security of information exchange in cloud environments and demonstrates the potential of optimisation-driven cryptographic frameworks for secure, privacy-preserving, and trustworthy cloud computing ecosystems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9786630199703
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 176 pp. Englisch. Nº de ref. del artículo: 9786630199703
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Cloud computing requires robust security mechanisms to protect sensitive information from evolving cyber threats. This book presents advanced hybrid Cryptographic solutions for secure cloud data sharing, integrating nature-inspired optimisation algorithms with modern encryption techniques. It covers an optimised DNA-based encryption framework using the Grey Wolf Optimiser (GWO). By efficiently exploring encryption parameter spaces, GWO identifies optimal configurations that enhance encryption strength, key sensitivity, and resistance to cryptanalytic attacks. A novel cryptographic key-generation approach that combines Binary Cuckoo Optimisation (BCO) with Homomorphic Encryption for secure computation over encrypted data is used. This hybrid framework facilitates the efficient generation of high-strength cryptographic keys, reducing computational overhead and execution time. The proposed framework improves data confidentiality and the security of information exchange in cloud environments and demonstrates the potential of optimisation-driven cryptographic frameworks for secure, privacy-preserving, and trustworthy cloud computing ecosystems. Nº de ref. del artículo: 9786630199703
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Librería: preigu, Osnabrück, Alemania
Taschenbuch. Condición: Neu. Cloud Security and Privacy: Optimization-Based Cryptographic Solutions | Methods, Frameworks, and Applications for Secure Data Sharing in Cloud Environments | Mercy Joseph (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786630199703 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 135867798
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware 176 pp. Englisch. Nº de ref. del artículo: 9786630199703
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Librería: CitiRetail, Stevenage, Reino Unido
Paperback. Condición: new. Paperback. Cloud computing requires robust security mechanisms to protect sensitive information from evolving cyber threats. This book presents advanced hybrid Cryptographic solutions for secure cloud data sharing, integrating nature-inspired optimisation algorithms with modern encryption techniques. It covers an optimised DNA-based encryption framework using the Grey Wolf Optimiser (GWO). By efficiently exploring encryption parameter spaces, GWO identifies optimal configurations that enhance encryption strength, key sensitivity, and resistance to cryptanalytic attacks. A novel cryptographic key-generation approach that combines Binary Cuckoo Optimisation (BCO) with Homomorphic Encryption for secure computation over encrypted data is used. This hybrid framework facilitates the efficient generation of high-strength cryptographic keys, reducing computational overhead and execution time. The proposed framework improves data confidentiality and the security of information exchange in cloud environments and demonstrates the potential of optimisation-driven cryptographic frameworks for secure, privacy-preserving, and trustworthy cloud computing ecosystems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9786630199703
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