Trusted Data Management for E-learning System Based on Blockchain

Chenglong Cao, Xiaoling Zhu
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引用次数: 2

Abstract

During the epidemic outbreak of COVID-19, all universities, middle schools and primary schools in China adopted the form of online teaching. It brings convenience, but it also raises some security and privacy issues. The challenge to solve the issues is how to achieve effective access control and how to ensure the authenticity of online data. Because blockchain has the characteristics of openness, unforgeability and decentralization, we present a trusted data management scheme for e-learning system based on blockchain. In the scheme, large amounts of resource data are stored in a distributed storage system; the evidences of uploaded data are stored in blockchain network established by high credible institutions. Once the data in the distributed storage are tampered, it will be discovered by looking up blockchain transactions. In order to make up for the lack of privacy protection in blockchain, we adopt attribute encryption. For different resources, different ciphertext policies are given. Only the users whose attributes satisfy the policy can decrypt the data. Further, a fine-grained access control scheme for e-learning is designed. In addition, the scheme can prevent collusion attacks; even if multiple users collude, they will not get more resources.
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基于区块链的电子学习系统可信数据管理
新冠肺炎疫情期间,全国所有大、中、小学都采用了网络教学形式。它带来了便利,但也带来了一些安全和隐私问题。如何实现有效的访问控制,如何保证在线数据的真实性,是需要解决的问题。由于区块链具有开放性、不可伪造性和去中心化的特点,我们提出了一种基于区块链的电子学习系统可信数据管理方案。该方案将大量资源数据存储在分布式存储系统中;上传数据的证据存储在高可信度机构建立的区块链网络中。一旦分布式存储中的数据被篡改,将通过查找区块链交易来发现。为了弥补区块链中隐私保护的不足,我们采用了属性加密。针对不同的资源,给出了不同的密文策略。只有属性满足策略的用户才能解密数据。在此基础上,设计了一种适合电子学习的细粒度访问控制方案。此外,该方案还可以防止串通攻击;即使多个用户串通,他们也不会得到更多的资源。
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