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Access Control Based on Ciphertext Attribute Authentication and Threshold Policy for the Internet of Things

机译:基于密文属性认证和阈值策略的物联网访问控制

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摘要

The development of the Internet of Things has led to great development of data sharing and data interaction, which has made security and privacy more and more a concern for users. How to ensure the safe sharing of data, avoid the leakage of sensitive information, and protect the privacy of users is a serious challenge. Access control is an important issue to ensure the trust of the Internet of Things. This paper proposes an access control scheme based on ciphertext attribute authentication and threshold policy, which uses the identity authentication of hidden attributes and divides the user’s permission grade by setting the threshold function with the user’s attributes. Users obtain different permission grades according to attribute authentication and access data of different sensitivity grades to achieve fine-grained, flexible and secure access to data in the cloud server while protecting personal privacy issues. In addition, when the resource is acquired, the identity and permission joint authentication method is adopted to avoid the collusion attack of the illegal member, which makes the resource access control more secure.
机译:物联网的发展导致数据共享和数据交互的巨大发展,这使得安全性和隐私性越来越受到用户的关注。如何确保数据的安全共享,避免敏感信息的泄漏以及保护用户的隐私是一个严峻的挑战。访问控制是确保物联网信任的重要问题。本文提出了一种基于密文属性认证和阈值策略的访问控制方案,该方案使用隐藏属性的身份认证,并通过为用户属性设置阈值功能来划分用户的权限等级。用户根据属性身份验证获得不同的权限等级,并访问不同敏感度等级的数据,以实现对云服务器中数据的细粒度,灵活和安全的访问,同时保护个人隐私问题。另外,在获取资源时,采用身份和权限联合认证的方法,避免了非法成员的串通攻击,使资源访问控制更加安全。

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