Research on Online Transaction Risk Detection Based on IP Reputation

doi:10.3969/j.issn.1671-1122.2017.09.018

Abstract

Abstract:

With the rapid development of Internet payments, the continuously upgrading of online transaction risk, all kinds of malicious transaction behavior is of common occurrence. For coping with the severe challenges of business risk prevention and control, IP reputation should be taken as the breakthrough point to evaluate for transaction behaviors, which is one of important measures to find online transaction risks timely. By means of association analysis of IP reputation and online transaction risks, this paper propose a framework and model of online transaction risk detection based on IP reputation, to realize the real-time recognition of online transaction risk according to the actual business scenarios. The framework provides much more guarantee for safe operation of Internet business.

Key words: IP reputation, online transaction, risk detection

CLC Number:

TP309.1

Shuo HE, Zili HUANG, Yang YANG, Zhou CHEN. Research on Online Transaction Risk Detection Based on IP Reputation[J]. Netinfo Security, 2017, 17(9): 77-80.

Figures/Tables 4

References 12

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