基于行为分析的用户身份信息安全验证研究

Research on user identity information security verification based on behavior analysis

随着互联网信息技术的不断发展,用户信息安全面临新的挑战,行为分析技术成为用户身份信息安全验证领域的研究重点。本文对目前基于用户行为分析的身份认证研究的国内外研究现状进行论述,分别从研究模型、研究方法和研究新视角三个方面对用户行为在身份认证领域的应用进行分析,并探讨了在移动终端和大数据交易平台中运用行为分析对用户进行身份验证的研究。研究结果表明:大数据、云计算和物联网等技术在用户行为分析中的综合应用能够更好的应对新型网络环境下用户行为数据规模大、种类复杂和数据变化快等问题,结合多领域知识对用户行为进行分析将成为身份信息安全验证领域新的研究趋势。

With the continuous development of Internet information technology,user information security is facing new challenges,and behavior analysis technology has become a research focus in the field of user identity information security verification.In this paper,the current research status of identity authentication is discussed based on user behavior analysis at home and abroad.The application of user behavior in the field of identity authentication is analyzed from three aspects:research model,research method,and new perspective.The research on the use of behavior analysis to verify user identity in terminals and big data trading platforms is explored.The research results show that the comprehensive application of big data,cloud computing and Internet of Things in user behavior analysis can better deal with the problems of large scale,complex types and rapid data changes of user behavior in the new network environment,combined with multi-domain knowledge,analyzing user behavior will become a new research trend in the field of identity information security verification.