In today's society, we are entering the era of big data, where the field of higher education is actively embracing this wave of digitization. Utilizing big data technology to drive innovation in teaching, research, and administration. However, the rapid development of big data applications has also brought about new challenges for information network security in higher education institutions. Based on a thorough analysis of the impact of big data applications on information network security in colleges and universities, this thesis comprehensively examines common information network security issues in the context of higher education's big data environment, such as sensitive data leaks and privacy concerns, network attacks and malicious behaviors, data sharing platform security issues, and human operational errors. Against this backdrop, this paper proposes a series of effective information network security strategies, including comprehensive network security awareness education and training, establishment of a robust security system, reinforcement of access control and permission management, as well as the establishment of an emergency response mechanism. These strategies aim to assist higher education institutions in ensuring information network security in the era of big data, and to promote the sustainable development of higher education. Through in-depth analysis of the issues and the formulation of strategies, this paper provides valuable guidance and reference for the practical response to information network security in higher education institutions, offering theoretical and practical support for elevating the level of information network security in higher education in the age of big data.

Yinqian Cheng, Shengzhong Zhang. Issues and Countermeasures of Information Network Security in the Context of Big Data for Higher Education Institutions. The Frontiers of Society, Science and Technology (2023) Vol. 5, Issue 13: 1-6. https://doi.org/10.25236/FSST.2023.051301.

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