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{ "item_title" : "Cloud Security and Privacy", "item_author" : [" Mercy Joseph", "Paulin Paul "], "item_description" : "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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/6/63/019/970/6630199707_b.jpg", "price_data" : { "retail_price" : "100.00", "online_price" : "100.00", "our_price" : "100.00", "club_price" : "100.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Cloud Security and Privacy|Mercy Joseph

Cloud Security and Privacy : Optimization-Based Cryptographic Solutions

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Overview

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 Non-Returnable

Details

  • ISBN-13: 9786630199703
  • ISBN-10: 6630199707
  • Publisher: LAP Lambert Academic Publishing
  • Publish Date: June 2026
  • Dimensions: 9 x 6 x 0.41 inches
  • Shipping Weight: 0.54 pounds
  • Page Count: 176

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