Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/2645
Title: Fully Homomorphic Encryption: An Antidote to Cloud Data Security and Privacy Concerns
Authors: Abdullah, Monday Jubrin
Ikechukwu, Izeagbu
Adebayo, Olawale Surajudeen
Keywords: Security
Cloud
Privacy
Ciphertext
Fully Homomorphic Encryption
Issue Date: 2019
Publisher: 15th International Conference on Electronics, Computer & Computation, 10th – 11th December, 2019 held at Nile University, Abuja, Nigeria
Abstract: 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 related works in the area of Homomorphic Encryption was discussed. An insight into future research direction in the field of Fully Homomorphic Encryption was specified
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/2645
Appears in Collections:Cyber Security Science

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