金融交易风险监控平台的相关技术研究
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摘要
随着互联网+模式的迅速发展,互联网金融已经成为当今社会不可或缺的一部分。金融业的信息安全已经关系到社会的各个方面,在金融的信息网络中任何一个安全漏洞都有可能引起重大损失,因此对金融业的风险实施有效的监控是非常有必要的。本文主要对基于互联网行为分析的风险反欺诈监控平台关键技术的研究与介绍。在实践应用中,本平台能够有效的处理海量级的金融业数据,从关系复杂的金融大数据中提取金融交易风险的判别准则,从而有效的监控金融业的风险。
With the rapid development of internet plus mode,the information security of financial industry has been related to all aspects of the society,any security vulnerabilities in the financial information network could cause significant losses,so it is very necessary to effectively monitor the risk of financial industry.This paper mainly studies the key technologies of the risk counter fraud monitoring platform based on the Internet behavior analysis.In practical application,the platform can effectively deal with the massive financial data.The extraction of the risk of financial transactions from the complex financial data to determine the criteria for effective monitoring of risk of financial industry.
With the rapid development of internet plus mode,the information security of financial industry has been related to all aspects of the society,any security vulnerabilities in the financial information network could cause significant losses,so it is very necessary to effectively monitor the risk of financial industry.This paper mainly studies the key technologies of the risk counter fraud monitoring platform based on the Internet behavior analysis.In practical application,the platform can effectively deal with the massive financial data.The extraction of the risk of financial transactions from the complex financial data to determine the criteria for effective monitoring of risk of financial industry.
引文
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[2]A.Oboler,K.Welsh,and L.Cruz,The Danger of Big Data:Social Media as Computational Social Science,First Monday,vol.17,no.7,2012
[3]王瑛.基于SSL加密协议的网络端安全研究.长春理工大学学报,2010,9
[4]Jame Manyika,et al.Big data:The next frontier for innovation,competition,and productivity.[Online]Available from:http://www.mckinsey.com/insights/mgi/research/technology
[5]Big Data in 2020[Online]http://www.emc.com/leadership/digital-universe/iview/big-data-2020.htm.
[6]缴明洋,谭庆平.Java规则引擎技术研究[J].计算机与信息技术,2006.3
[7]Jang D,Chone KM.Points-to analysis for Java Script[C]//Proc of the 2009 ACM Symp on Applied Computing.New York:ACM,2009:1930-1937
[8]http://www.alexa.com
[9]Basel Committee on Banking Supervision.BaselⅢ:The Liquidity Coverage Ratio and Liquidity Risk Monitoring Tools[R].BIS,2013.
[10]晓辉.中国金融认证中心(CFCA)发布蓝牙KEY产品.网络安全技术与应用,2013.