Survey on Homomorphic Encryption and Address of New Trend

Abstract

Encryption is the process of disguising text to ensure the confidentiality of data transmitted from one party to another. Homomorphic encryption is one of the most important encryption-related processes which allows performing operation over encrypted data. Using different public key algorithms, homomorphic encryption can be implemented in any scheme. There are many encryption algorithms to secure operations and data storage, which after calculations can obtain the same results. While there is a considerable contribution and enhancement in the field of homomorphic encryption for various performance metrics, there is still an necessity to clarify the applications dealing with this technology. Recently, many distinguished research papers have been filed to address the need for various applications of homomorphic encryption. Recently, many distinguished research papers have been filed to address the need for various applications of homomorphic encryption. Example of these applications but not limited to : Vehicle to Vehicle (v2v) secure communication, cloud security, Vehicular ad-hoc networks (VANET), Blockchain, E-Voting, Data mining with privacy preserving and healthcare sector. This article aims to introduce a literature survey to close the gap in homomorphic encryption systems and their applications in the protection of privacy. We focus on abovementioned applications and present our recommendations for future work.

Reviewing advancements in privacy-enhancing technologies for big data analytics in an era of increased surveillance

“…Homomorphic encryption enables computations to be performed on encrypted data without decrypting it first, preserving privacy throughout the computation process (Hamza, et al, 2022;Alharbi, et al, 2020). It allows for operations such as addition and multiplication to be performed on ciphertexts, producing encrypted results.…”

Blockchain Merkle-Tree Ethereum Approach in Enterprise Multitenant Cloud燛nvironment

“…Achievements: The authors of this paper suggested a way to secure the data from breach by simply removing the user's information from the system completely. Alharbi et al [29] introduced a literature survey related to the HE algorithm. Techniques used: The survey aims to reduce the gap between the algorithm and its applications in terms of providing security.…”

Post-quantum cloud security and data exchange using artificial intelligence.

“…Homomorphic encryption is based on mathematical algorithms that enable operations on encrypted data, such as addition and multiplication, to produce encrypted results that can be decrypted to give the same output as if the operations had been performed on the original unencrypted data. This means that data can be processed without ever being revealed in its unencrypted form, providing a higher level of security and privacy [9]. Homomorphic encryption aids in thwarting risks like data leaks when in use and when the data is at rest [68].…”