Scholarlink

The introduction of Industry 4.0 has significantly changed several industries, including education. The digital revolution's essential element of e-learning, which provides unparalleled flexibility and worldwide accessibility. The security and privacy of this online learning settings continue to cause a lot of concern. In the framework of Industry 4.0, the objective of this chapter is to use data mining techniques to improve the security of e-learning systems. We examine user activity, access patterns, and system logs to look for abnormalities and any security risks. This proactive approach helps in averting unauthorized access and safeguarding sensitive user information. This chapter delves into emotion analysis and explores various strategies to secure e-learning systems in the era of Industry 4.0.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Secure E-Learning in the Era of Industry 4.0: A Data Mining Approach

  • 章节

  • 发表日期：

    2025年

查看全文
  • Vinita,
  • Agarwal Reshu

摘要

The introduction of Industry 4.0 has significantly changed several industries, including education. The digital revolution's essential element of e-learning, which provides unparalleled flexibility and worldwide accessibility. The security and privacy of this online learning settings continue to cause a lot of concern. In the framework of Industry 4.0, the objective of this chapter is to use data mining techniques to improve the security of e-learning systems. We examine user activity, access patterns, and system logs to look for abnormalities and any security risks. This proactive approach helps in averting unauthorized access and safeguarding sensitive user information. This chapter delves into emotion analysis and explores various strategies to secure e-learning systems in the era of Industry 4.0.