基于云计算的数据安全风险及防御策略研究

云计算因其存储容量大和计算能力强等优点深得人心,然而云技术却为数据安全带来新的威胁。由于云平台与用户间存在大量数据交互,故在整个数据生命周期中存在的一系列安全风险。本文针对这些数据安全风险从国家监管、专业人员的技术研发、云供应商的可信服务和云相关人员的防范意识这四个方面来展开研究,提出了相应的数据安全保护模型和防御策略,能够较好的解决云计算数据安全风险问题。

Research on data security risk and defense strategy based on Cloud Computing

Cloud computing is popular because of its large storage capacity and computing power. However, cloud technology brings new threats to data security. Due to the large amount of data exchanged between the cloud platform and users, there is a series of security risks in the whole life cycle of the data. According to these data security risks, this paper studies from four aspects: state regulation, technical research and development of professionals, credible services of cloud providers and prevention awareness of cloud-related personnel, and puts forward corresponding data security protection models and defense strategies. It can solve the problem of cloud computing data security risk better.