CRFeb 1, 2022

Securing the data in cloud using Algebra Homomorphic Encryption scheme based on updated Elgamal(AHEE)

arXiv:2202.00250v14 citations
Originality Synthesis-oriented
AI Analysis

This addresses security concerns for cloud users who need to protect their data while enabling operations on it, though it appears incremental as it builds on existing homomorphic encryption methods.

The paper tackles the problem of securing client data in cloud storage by implementing an Algebra Homomorphic Encryption scheme based on updated Elgamal (AHEE) at the client side, allowing encrypted data to be processed without decryption.

Cloud computing is the broad and diverse phenomenon. Users are allowed to store huge amount of data on cloud storage for future use. Most of the cloud service providers store data in plain text format or in secured manner but client will not be known the method in which it is stored. Homomorphic encryption is the encryption which allows the operation on cipher text thus generating an encrypted result which when decrypted, matches the result of operations performed on the plaintext. This is sometimes a desirable feature in modern communication system architectures. There are several homomorphic algorithms, one of them is AHEE. User need to use their own encryption algorithm to secure their data if required. The data needs to be decrypted whenever it is to be processed. In this paper, we have focused on providing security to the client using AHEE algorithm at the client side, for any data to be stored in the cloud.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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