Counterfeit Website Classification By Using Machine Learning

碩士 === 東海大學 === 資訊工程學系 === 107 === In recent years, social networking sites have become popular, and many people have started trading transactions on the Internet community. Therefore, a large number of counterfeit websites have begun to appear, which has gradually increased the risk of fraudulent o...

Full description

Bibliographic Details
Main Authors: CHEN,PO-HSIANG, 陳柏翔
Other Authors: TSAI,CHING-TSUNG
Format: Others
Language:zh-TW
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/3q272w