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A user requirements-oriented privacy policy self-adaption scheme in cloud computing
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AI
DOI：10.1007/s11704-022-1182-x.png)
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摘要
En 中文
In an ever-changing environment, Software as a Service (SaaS) can rarely protect users' privacy. Being able to manage and control the privacy is therefore an important goal for SaaS. Once the participant of composite service is substituted, it is unclear whether the composite service satisfy user privacy requirement or not. In this paper, we propose a privacy policies automatic update method to enhance user privacy when a service participant change in the composite service. Firstly, we model the privacy policies and service variation rules. Secondly, according to the service variation rules, the privacy policies are automatically generated through the negotiation between user and service composer. Thirdly, we prove the feasibility and applicability of our method with the experiments. When the service quantity is 50, ratio that the services variations are successfully checked by monitor is 81%. Moreover, ratio that the privacy policies are correctly updated is 93.6%.
Keyword:
cloud computing
SaaS service
privacy protection
privacy policies update
期刊
IF:
4.6
论文数:
1.6K
被引数:
2.8K
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引用论文
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