Fully Homomorphic Encryption: An Antidote to Cloud Data Security and Privacy Concerns.

被引：0
|
作者：
Jubrin, Abdulahi Monday [1 ]
Izegbu, Ikechukwu [1 ]
Adebayo, Olawale Surajudeen [2 ]
机构：
[1] Veritas Univ, Comp & Informat Technol, Abuja, Nigeria
[2] Fed Univ Technol, Cyber Secur Sci, Minna, Nigeria
来源：
2019 15TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTER AND COMPUTATION (ICECCO) | 2019年
关键词：
Security; Cloud; Privacy; Ciphertext; Fully Homomorphic Encryption;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Cloud Computing has witnessed tremendous growth in the last decades. Security and privacy of cloud data arc 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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页数：6
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