Analysis and Consideration of Detection Methods to Prevent Fraudulent Access by Utilizing Attribute Information and the Access Log History

Fraudulent access by way of nInternet banking, credit cards and e-commerce are a serious problem. Fraudsters intend to steal credentials log in these websites many ways such as phishing, malware infection, list based attack etc. There products services prevent fraudulent like fraud detection software multi-factor authentication, however have issues installation costs, accuracy operation cost. Some security vendors provide client-side fraud, but it is usually difficult for the companies compel their end-users install additional because may cause trouble decrease usability. Regarding we researching an effective method using server-side information. In this paper, show results from analyzing attacker device attribute information environmental differences between genuine users fraudsters on history actual found that attacker's environment changes year year. We also discuss effectiveness methods described previous research utilizing real-world data.