关键词: 支付场景化, 支付安全, 态势感知模型, 态势预测, 安全数据分析

Abstract: Payment is the most widely used scenario in the financial industry. Driven by the interests, there are more and more network attacks against payment business scenarios. How to accurately and effectively perceive the security risk of payment scenarios is one of the current research issues, This paper focuses on the current situation awareness system and payment business security monitoring system, and analyzes the shortcomings of these two traditional systems in payment business scenario risk perception. Introduces the functional architecture and technical framework of payment scenario situation awareness platform, and the analysis method of multichannel monitoring security events based on network, host and business application.Taking two typical payment business scenarios of violent account cracking and malicious account opening as examples, using autoregressive integrated moving average model and Gaussian algorithm, a situation awareness model based on financial industry payment business scenario is designed, which successfully realizes the future prediction and periodic prediction of security situation of payment scenario risk.

Key words: payment scenario, payment security, situation awareness model, situation prediction, security data analysis