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Research on information security and privacy protection model based on consumer behavior in big data environment

机译：大数据环境下基于消费者行为的信息安全与隐私保护模型研究

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摘要

In the big data era, information security is becoming more and more important. The recent scandalof the data privacy on Facebook sounded the warning bell for us. Based on the utility theory,this paper proposes that the disclosure behavior of consumer personal information is mainlyinfluencedby twofactors,which are perceived risk and perceived benefit, respectively.Whenconsumersmakedecisions, theyweigh the risks and benefits. If the income is greater than the risk, theconsumer is willing to provide the information on the website and vice versa. This paper analyzesthe serious threats to the safety and privacy of commercial big data and proposes a multi-levelsecurity protection theoretical model for business information security and privacy protectionfrom the perspective of business big data security. The security functions and core technologiesof each layer are described in detail, which provide a useful and in-depth theoretical explorationfor practical engineering. Finally, based on the privacy protection of large data and the principleof RBAC, a model of user privacy information security system is proposed.
机译：在大数据时代，信息安全变得越来越重要。 Facebook上最近有关数据隐私的丑闻为我们敲响了警钟。基于效用理论，本文提出消费者个人信息的披露行为主要受两个因素的影响，分别是感知风险和感知收益。消费者在做出决策时要权衡风险和收益。如果收入大于风险，则消费者愿意在网站上提供信息，反之亦然。本文分析了对商业大数据安全和隐私的严重威胁，并从商业大数据安全的角度提出了商业信息安全和隐私保护的多层次安全保护理论模型。详细介绍了每一层的安全功能和核心技术，为实际工程提供了有益而深入的理论探索。最后，基于大数据的隐私保护和RBAC的原理，提出了一种用户隐私信息安全系统模型。

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