Empowering college students with personal privacy protection and anti-fraud on the internet: A comprehensive learning approach

Abstract

As college students increasingly navigate their academic pursuits and social lives through the digital realm, safeguarding personal privacy on the internet becomes a pressing concern. For example, deep forgery technology has further increased personal privacy concerns. This technique can produce fake videos, pictures, and sounds that are highly realistic, making it a tool for the misuse of personal and sound data. Several artificial intelligences (AI) systems require large amounts of data for training and improvement, which can involve collecting and storing sensitive personal information. If this data is not adequately protected, and there is no clear privacy policy, it may lead to the misuse or disclosure of personal information. In response to the rapid development of artificial intelligence and the impact of deep forgery technology on privacy and security, this research first tested the students' understanding of deep forgery technology, then introduced the dangers of this technology, and finally gave them a reasonable and effective solution. To promote active learning, activities are integrated to simulate real-world scenarios that college students might encounter. These include creating strong passwords, identifying phishing attempts, and understanding the implications of oversharing on social media platforms. Additionally, students are encouraged to examine case studies documenting privacy breaches and their impact on individuals and society. This essay aims to present an effective learning approach for college students to enhance their understanding of personal privacy protection online and provide an effective way of solving personal problems.