A Study on Big Data for Illegal Immigration Enforcemen

• Main Authors: LIAO, CHUNG-YI, 廖忠義
• Other Authors: LAI, JING-NENG
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/z32qpz

碩士 === 醒吾科技大學 === 資訊科技應用系 === 107 === From the Mainlanders who arrived centuries ago to today’s rising numbers of immigrants from across the world, Taiwan has been a diverse society with a large immigrant population. The immigrant population, which consists of foreign workers, businesspeople, and dependents of an R.O.C. national, has soared past a million in Taiwan. Mostly from mainland China and Southeastern Asia, these new immigrants have steadily contributed to the social and economic progress over the years. When many major developed countries, including Japan and other neighboring countries, are faced with issues such as population aging, low birth rates, and labor shortages, foreign workers seem to be a perfect solution to address this labor shortage issue in Taiwan and many other countries. Yet migrant workers not only have to pay labor brokers a large sum when they seek jobs in Taiwan, but they also need to pay a management fee on a regular basis after they start working here. If they do not get adequately paid, some migrant workers would leave their previous employers and find another higher-paying job for which they are not eligible to do. According to statistics conducted by the Ministry of the Interior National Immigration Agency, 51,626 migrant workers were found missing in Taiwan by the end of August 2018. Other visitors entering Taiwan on a visa exemption may have intentionally got into the porn industry or scam gangs, whilst an increasing number of migrants have been caught committing crimes in Taiwan. All of this has greatly affected social stability and the labor rights of Taiwanese workers. This study involves setting up big data architectures, and then applying this big data to track down illegal foreigners, identify their motives of running away, whereabouts, and types of crimes committed by these migrant workers, and ultimately crack down on illegal immigration with the help of big-data analysis. This requires a thorough consideration taken from the viewpoints of Taiwan’s law enforcement agencies as well as those of Specialized Operation Corps at National Immigration Agency, so as to create a staffing model, make sure if there is any progress compared to current procedures, and identify the problems arisen from conducting the above-said analysis. All results will be delivered back to a reconnaissance platoon, in hopes of creating a big-data analytical model that is systematic and has higher efficiency, in order to help the reconnaissance team perform duties more effectively when operating the big data system to track down illegal foreigners in the seeable future.