Design and Analysis of the BlockCryptoCloud Algorithm on Cryptography

Lakshmi, T. S. and Jayamangala, H. (2025) Design and Analysis of the BlockCryptoCloud Algorithm on Cryptography. In: Lecture Notes in Networks and Systems ((LNNS,volume 1421)). Springer Nature Link, pp. 10-26.

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Abstract

In modern distributed systems, ensuring data security and privacy is critical. BlockCryptoCloud integrates hierarchical key generation, hierarchical multipart homomorphic encryption (HMPE), and homomorphic operations to safeguard data. This architecture addresses secure data management complexities, access control, and computational privacy. BlockCryptoCloud employs hierarchical key generation with a tree-based structure and key derivation functions for secure key management. Hierarchical multipart homomorphic encryption ensures data confidentiality by encrypting data segments with hierarchical keys, enabling secure computations without decryption. Homomorphic operations, like addition and multiplication, allow computations on encrypted data, preserving privacy. The algorithm architecture facilitates secure data management, access control, and computation privacy in distributed environments. Hierarchical key generation enables controlled access and robust key management. Hierarchical multipart homomorphic encryption ensures confidentiality while allowing secure computations. Homomorphic operations support privacy-preserving computations on encrypted data, enhancing data security. BlockCryptoCloud offers a comprehensive framework for secure data management. It addresses key data security and privacy challenges by integrating hierarchical key generation, HMPE, and homomorphic operations. Mathematical representations and visualisations enhance understanding and demonstrate efficacy, making BlockCryptoCloud a promising solution for secure data processing in distributed environments.

Item Type: Book Section
Subjects: Computer Science Engineering > Algorithms
Domains: Computer Applications
Depositing User: Mr IR Admin
Date Deposited: 22 Aug 2025 04:28
Last Modified: 22 Aug 2025 04:28
URI: https://ir.vistas.ac.in/id/eprint/10315

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