Improving Data Security of Online Learning Networks of Ideological and Political Courses in Colleges and Universities by Combining Blockchain Technology

Abstract

Regarding the issue of data security in online learning networks, traditional blockchain technology lacks sufficient privacy protection for sensitive data such as students' learning records and interactive content in online learning networks of ideological and political courses in colleges and universities. It cannot effectively cope with high-frequency and large-scale data interactions in large-scale online learning platforms, which may lead to data tampering, privacy leakage and data inconsistency, indirectly affecting data security. This paper constructs an improved blockchain technology architecture to enhance the data security of online learning networks for ideological and political courses in colleges and universities. This paper introduces a lightweight consensus algorithm and Byzantine fault tolerance optimization to enhance the consensus capability of nodes and adapt to the high concurrency requirements of large-scale online learning platforms. Differentiated encryption strategies are set for different types of sensitive data. This paper uses smart contracts to implement dynamic encryption rules. It combines zero-knowledge proof technology (ZKP) to complete anonymous authentication by verifying the authenticity of user data, thereby reducing the risk of privacy leakage. Learning records and interactive content can be stored in the main and side chains according to importance. The main chain is responsible for data with high-security requirements, and the side chain stores common data with high access frequency, ensuring security and improving system performance. Experimental results show that the hash value matching accuracy of the enhanced blockchain technology architecture under four data tampering attack methods, including timestamp tampering, 51% attack, replay attack and node forgery attack, is 95%, 95%, 95.5% and 95.1% respectively, with high data consistency. The highest data leakage rates under common attacks such as MITM, side-channel, privilege escalation escalations, and malicious script attacks that capture user data are 0.15, 0.15, 0.14, and 0.12, respectively. In the processing of 6,000 to 15,000 concurrent data, the improved blockchain has a maximum response time of 17.1 seconds and an average throughput of 273.9KB/s, with excellent data interaction efficiency. The experiment proves the effectiveness of this paper improved blockchain technology architecture constructed.