Open AccessResearch on Data Security Audit in Cloud Computing for Big Data Environment
Author(s) -
Shuanbao Li
Publication year - 2021
Publication title -
converter
Language(s) - English
Resource type - Journals
ISSN - 0010-8189
DOI - 10.17762/converter.243
Subject(s) - cloud computing , computer science , cloud computing security , audit , data security , encryption , computer security , big data , information technology audit , database , data mining , accounting , business , internal audit , joint audit , operating system
The modernization of industrial industry cannot be separated from the development of big data.In order to meet this challenge, cloud data integrity audit has been proposed in recent years and received extensive attention. Based on the in-depth study of the impact of different cloud storage data types on the audit scheme, this paper proposes an audit scheme based on Dynamic Hash table.Based on this, this paper explores a variety of cloud storage audit algorithms for different data types to deal with different security challenges.Facing a series of data security problems brought by cloud computing, this paper analyzes the concept, working principle and characteristics of cloud computing, and discusses the data security risks brought by cloud computing from four aspects. At the same time, this paper elaborates the data security strategy from five aspects: data transmission, data privacy, data isolation, data residue and data audit. In this paper, we propose to adopt end-to-end data encryption technology, build private cloud or hybrid cloud, share table architecture, destroy encrypted data related media, and introduce third-party certification authority for data audit.