Massive email analyzing method and system based on relational graph
An email and analysis method technology, applied in the field of network information security, can solve problems such as the inability to quickly and effectively process massive email data, and achieve the effect of accurate real-time analysis level, speed improvement, and high scalability.
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Embodiment 1
[0068] Association analysis steps: Introduce the IP address geographic information database and the email user identity information database, associate the two databases with the email table, and perform association analysis based on the generated relationship graph, and then associate the association analysis process with the results. shown in the figure. Embodiment 1 is based on the above method, and is specifically composed of three implementation parts:
[0069] 1. Parallel parsing and processing of massive emails
[0070] like figure 2 As shown, a flowchart of parallel parsing and processing of massive emails is given, and the specific implementation steps are as follows:
[0071] 1) Obtain configuration information such as parsing tasks and source data access paths from massive email database configuration tables, use the configuration table to build a mutual exclusion mechanism, and use parallel processing to parse the email source data, including detecting whether t...
Embodiment 2
[0098] Embodiment 2 Based on the system principle of Embodiment 1, a software system "mass mail intelligent analysis and management system" is designed, and is deployed and implemented. This software system uses four high-performance servers, two of which are used to deploy the parallel parsing module, one server user deploys the attachment storage detection module, and the last server user deploys the relationship graph generation module and association analysis module. Through actual operation, the system can parse more than 1 million e-mail data every day; it supports attachment storage and fast retrieval of more than half a year of data, and can be expanded; it supports the correlation analysis of hundreds of millions of e-mail data, and a single page can Display and edit graphs of more than 100 nodes.
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