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數據挖掘視角下的征信信息安全行為監測框架及應用研究
發布日期:2019-06-27    來源:財經問題研究   瀏覽次數:26
核心提示:數據挖掘視角下的征信信息安全行為監測框架及應用研究Research on the Monitoring Framework and Application of Credit Information Security Behavi
 

數據挖掘視角下的征信信息安全行為監測框架及應用研究

Research on the Monitoring framework and Application of Credit Information Security Behavior from the Perspective of Data Mining 

摘要: 近年來,侵犯公民個人征信信息的案件頻發,眾多銀行“內鬼”成為案發源頭,凸顯接入機構征信信息安全行為風險。本文按照習近平總書記關于防風險和管住人的指示,在征信日常監管數據的基礎上,利用大數據挖掘技術,構建識別風險行為的系列指標,并嘗試進行應用研究,為征信信息安全風險早發現、早處置打好理論基礎。

Abstract: In recent years, cases of infringement of citizens personal credit information have been frequent, and many banks ‘inner ghosts’ have become the source of the case, highlighting the risk of information security behavior of access agencies. In accordance with the instructions of General Secretary Xi Jinping on risk prevention and management, based on the daily supervision data of credit information, this paper uses big data mining technology to construct a series of indicators to identify risk behaviors, and attempts to apply research for the safety of credit information. Early detection and early disposal of risk lay a good theoretical foundation.

關鍵字: 征信;信息安全;行為監管;數據挖掘

 
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