完全同态加密:云数据安全和隐私问题的解毒剂。

Abdulahi Monday Jubrin, Ikechukwu Izegbu, O. S. Adebayo
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引用次数: 4

摘要

在过去的几十年里,云计算经历了巨大的发展。云数据的安全性和隐私性是限制云计算领域发展和研究的两个主要问题。随着人工智能和深度学习在这十年中的突出作用,个人和组织对云数据的安全和隐私问题变得越来越不安。本文旨在介绍完全同态加密,以解决云数据计算的安全性和隐私性挑战。讨论了同态加密领域的里程碑和研究进展。最后对今后全同态加密领域的研究方向进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fully Homomorphic Encryption: An Antidote to Cloud Data Security and Privacy Concems.
Cloud Computing has witnessed tremendous growth in the last decades. Security and privacy of cloud data are two major concerns that have limited the growth and researches witnessed in the area of cloud computing. With Artificial Intelligence and Deep Learning taking prominent role in the decade, individuals and organizations are becoming more uneasy to the issues of security and privacy of cloud data. This article aims to provide an introduction to Fully Homomorphic Encryption as an antidote to the challenges of security and privacy of cloud data computation. The milestones and review of works in the area of Homomorphic Encryption was discussed. An insight into future research direction in the field of Fully Homomorphic Encryption was specified.
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