Design And Implementation Of Business Security Platform Based On Flow Processing Engine

In the context of "digital transformation" and "financial technology",the scale of online business continues to expand,and business security is facing unprecedented challenges.The use of loopholes in business rules or the prevention of blind spots to carry out fraud has continued to increase profits and has become the main way to make profits.Attack cracking tools continue to improve,and the black industry has formed an industrial chain.In the face of this situation,business security prevention and control strategies should also be multi-dimensional,combining punches to avoid large-scale expansion of new businesses due to prevention and control capabilities.Many businesses are the main targets that the wool party covets and focuses.Therefore,how to effectively prevent anticheating in marketing activities and maintain the interests of normal users and a good image has become an urgent problem to be solved.Through the construction of the basic business security platform,the basic platform of the overall business security architecture is built,with solutions that can support various business scenarios at the upper level,and form various business security solutions suitable for the status quo of the enterprise,and ultimately reduce the cause of fraud and marketing cheating Loss,enhance customer experience and promote business development.The main content of this thesis is based on the work done in several iterations of the system,using systematic software development methods,first analyzing the current research status at home and abroad,and introducing key theories and technologies in project development.After that,a demand analysis was carried out for the target users,and on this basis,the system was designed in outline and in detail until it was realized.I completed the design and development of the risk analysis module,business access review module,model management module,and monitoring alarm module in the project.The business security platform uses a micro-service architecture,which makes the system more scalable.In order to make the risk control detection have excellent low latency and throughput,the current popular Flink stream processing framework and Kafka message middleware are used.It also draws on multi-generation risk control systems and integrates multiple risk control methods to create a business security platform with multiple risk control methods that integrates rule judgments and algorithm models.It also supports the dynamic configuration of algorithm models,and creates different models for different business products for direct deployment.In order to have an intuitive display of risks,a visual monitoring interface was created.The business security platform finally reached the expected goal of the first phase of the system,and it has been launched for internal use in the next subsidiary of the group.