An Improved Homomorphic Technique in Construction of Fully Homomorphic Encryption Scheme from LWE

Xu, Chengbo; Yang, Shuying

doi:10.2991/icmse-18.2018.129

Cited by 1 publication

(3 citation statements)

References 7 publications

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“…In this section, the proposed HIZWFHE Scheme is investigated with the existing GENTRY-FHE [20], SMART-VEC [19] and BATCH-DGHV [18] fully homomorphic encryption schemes considered for facilitating superior security in big data computations in the clouds. The performance of the proposed HIZWFHE Scheme is compared with the benchmarked schemes by the enforcement of n x n linear transformation process that gets converted into a n-dimensional vector.…”

Section: Resultsmentioning

confidence: 99%

“…The unmask performance time, memory consumptions of this RN-FHE was also estimated to be 23% lower than the DORACS-FHE scheme. In addition, a FHE that focuses on the provision of security against Adaptive Chosen Ciphertext Attack (CCA) was proposed for handling the issues that are the most common in cloud storage, cloud computation, electronic voting and multi-party computation [19]. This FHE scheme included the property of residual classes by imposing the composite degree of modular arithmetic with determined superior security.…”

Section: Related Workmentioning

confidence: 99%

“…In this key switching process, the original secret key and ciphertext pairs are transformed into a modified secret key and ciphertext pairs with the initially considered secret key still used for the process of encrypting the original plaintext [19]. This process of key switching is efficient for simplifying the implementation and investigation of the operations that are feasible in the cloud environment.…”

Section: Key Switching Mechanisms Of the Proposed Hizwfhe Schemementioning

confidence: 99%

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A Hybrid Improved Zhou and Wornell’s Inspired Fully Homomorphic Encryption Scheme for Securing Big Data Computation in Cloud Environment

Nithiavathy¹,

Vanitha²,

Manimaran³

et al. 2021

Preprint

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The process of performing smart computations in the big data and cloud computing environment is considered to be highly essential in spite of its complexity and cost. The method of Fully Homomorphic encryption is considered to be the effective approach that provides the option of working with the encrypted form of sensitive data in order to preserve high confidentiality that concentrates on deriving benefits from cloud computing capabilities. In this paper, a Hybrid Improved Zhou and Wornell’s inspired Fully Homomorphic Encryption (HIZWFHE) Scheme is proposed for securing big data computation, when they are outsourced to cloud service. This HIZWFHE scheme is potent in encrypting integer vectors that permit the computation of big data represented in the contextual polynomial form in the encrypted form with a bounded degree of limits. This HIZWFHE scheme is determined to be highly applicable and suitable and applicable in cloud big data computation in which the learning process of low dimensional representations is of high concern.

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Section: Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Key Switching Mechanisms Of the Proposed Hizwfhe Schemementioning

confidence: 99%

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