Analysis of Potential Hazard of the Personal Privacy Leakage on the Dark Web:Take the Crime of Telecommunication Network Fraud as an Example

  • Youyang Gao, Dechun Yin, Xiaoliang Zhao

Abstract

The leakage of personal privacy data occurs frequently on the dark web. This paper has discovered the strong correlation between personal privacy data transactions on the dark web and telecommunication network fraud crimes. Therefore, obtaining the privacy data from the dark web will be of great significance to control telecommunication network fraud and crackdown on illegal private data transactions. This paper uses web crawlers to obtain information about personal privacy data transactions on the dark web. Then we analyze the correlation between the information and the judgment document data of the telecommunication network fraud cases published on China Judgments Online. It is shocking to find out that the two types of data have similar quantity distribution and the Spearman correlation coefficient between them is 0.782even though they are completely independent. Hence it can be inferred that the personal privacy data sold on the dark web is likely to be used by criminals to implement precise telecommunication network fraud. Research on the correlation between personal privacy data on the dark web and telecommunication network fraud cases on China Judgments Online has a certain warning effect on both individuals and enterprises. Furthermore, it is helpful for the public security department to pay attention to the dark web investigation and evidence collection, prevent and combat telecommunication network fraud crimes, and control illegal private data transactions.

Published
2022-04-18
How to Cite
Youyang Gao, Dechun Yin, Xiaoliang Zhao. (2022). Analysis of Potential Hazard of the Personal Privacy Leakage on the Dark Web:Take the Crime of Telecommunication Network Fraud as an Example. Design Engineering, (1), 3027 - 3046. Retrieved from http://www.thedesignengineering.com/index.php/DE/article/view/9368
Section
Articles