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Detection and Analysis Ads Through the Mini-Programs: Mini-Program, Advertising, Malicious Advertisement Detection, Ads Ecosystem Analysis, Android

Author

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  • Biao Liu

    (School of Management, Beijing, China)

  • Linjie Liu

    (School of Computer Science and Technology, Beijing, China)

  • Jianyi Zhang

    (School of Computer Science, Beijing, China)

Abstract

Due to the widespread application and rapid delivery of advertisements for mini-programs, mini-program users are increasingly being harassed by advertisements. However, due to the existence of mini-programs dependent on the corresponding platforms, traditional advertising detection methods cannot detect the advertisements of the mini-programs. In the process of collecting and studying advertising problems, the authors have developed a framework that can run continuously almost without human intervention. They have analyzed 4853 mini-programs in total and got a general understanding of the problems of mini-programs' advertisements. There are several interesting findings, such as frequent pop-up advertisements, redirection, pornographic advertisements, etc. The authors have further detected pornographic advertisements and analyzed the links obtained in mini-programs to identify the malicious nature of the links. Broadly speaking, the framework collects the advertising problems of mini-programs and detects and analyzes some advertisements and malicious links to strengthen the supervision of the platform.

Suggested Citation

  • Biao Liu & Linjie Liu & Jianyi Zhang, 2022. "Detection and Analysis Ads Through the Mini-Programs: Mini-Program, Advertising, Malicious Advertisement Detection, Ads Ecosystem Analysis, Android," International Journal of Interdisciplinary Telecommunications and Networking (IJITN), IGI Global, vol. 14(1), pages 1-13, January.
  • Handle: RePEc:igg:jitn00:v:14:y:2022:i:1:p:1-13
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