Analytical Review of Confidential Artificial Intelligence: Methods and Algorithms for Deployment in Cloud Computing

IF 0.7 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING
E. M. Shiriaev, A. S. Nazarov, N. N. Kucherov, M. G. Babenko
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引用次数: 0

Abstract

The technologies of artificial intelligence and cloud computing systems have recently been actively developed and implemented. In this regard, the issue of their joint use, which has been topical for several years, has become more acute. The problem of data privacy preservation in cloud computing acquired the status of critical long before the necessity of their joint use with artificial intelligence, which made it even more complicated. This paper presents an overview of both the artificial intelligence and cloud computing techniques themselves, as well as methods to ensure data privacy. The review considers methods that utilize differentiated privacy; secret sharing schemes; homomorphic encryption; and hybrid methods. The conducted research has shown that each considered method has its pros and cons outlined in the paper, but there is no universal solution. It was found that theoretical models of hybrid methods based on secret sharing schemes and fully homomorphic encryption can significantly improve the confidentiality of data processing using artificial intelligence.

机密人工智能的分析评论:在云计算中部署的方法和算法
摘要 人工智能和云计算系统技术最近得到了积极的发展和应用。因此,几年来一直备受关注的二者联合使用问题变得更加尖锐。云计算中的数据隐私保护问题早在其与人工智能联合使用的必要性出现之前就已成为关键问题,这使得问题变得更加复杂。本文概述了人工智能和云计算技术本身以及确保数据隐私的方法。综述考虑了利用差异化隐私的方法、秘密共享方案、同态加密以及混合方法。研究结果表明,论文中概述的每种方法都有其优缺点,但没有通用的解决方案。研究发现,基于秘密共享方案和完全同态加密的混合方法理论模型可以显著提高利用人工智能处理数据的保密性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Programming and Computer Software
Programming and Computer Software 工程技术-计算机:软件工程
CiteScore
1.60
自引率
28.60%
发文量
35
审稿时长
>12 weeks
期刊介绍: Programming and Computer Software is a peer reviewed journal devoted to problems in all areas of computer science: operating systems, compiler technology, software engineering, artificial intelligence, etc.
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