Title: Hierarchical squeeze forward fractional net-based multi-party data sharing algorithm using hierarchical homomorphic encryption in blockchain

Authors: T.S. Lakshmi; H. Jayamangala

Addresses: Department of Computer Science, Vels Institute of Science, Technology and Advanced Studies, Chennai, Tamilnadu, 600117, India ' Department of Computer Applications-PG, Vels Institute of Science, Technology and Advanced Studies, Chennai, Tamilnadu, 600117, India

Abstract: In this research, the hierarchical squeeze forward fractional net (HiSqFFNet)-based key generation (HiSqFFNet_KeyGen) is proposed for multi-party data sharing using hierarchical multipart homomorphic encryption (HMHE). The HMHE is an effective cryptographic approach, which includes hierarchical access control with secure assessment of encrypted data. In multi-party data sharing, the data owner is employed as an initiator to transmit the file to the cloud through the smart contract. The data files are encrypted by HMHE, and the hierarchical key is generated via the HiSqFFNet_KeyGen. The interplanetary file system (IPFS) stores the encrypted data, and then the IPFS acts as the peer-to-peer (P2P) decentralised database to transmit the data over multiple users. The data requester transmits an access request to the encrypted data. The parameters like encryption time, decryption time, and key complexity are employed to compute the performance of HiSqFFNet_KeyGen, which offered the outcome of 9.429 sec, 11.31 sec, and 0.736.

Keywords: multi-party authorisation; hierarchical multipart homomorphic encryption; HMPE; SqueezNet; hierarchical deep neural network; HideNN; key generation.

DOI: 10.1504/IJAMECHS.2025.144594

International Journal of Advanced Mechatronic Systems, 2025 Vol.12 No.1, pp.60 - 73

Received: 03 Aug 2024
Accepted: 29 Oct 2024
Published online: 23 Feb 2025 *

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