OPENFEA Application Cases

Openfea analytical performance is excellent, easy to use, since the release of the big data analysts have been the push, widely used in all walks of life.

Case one: Network security situational Awareness

Network security situational Awareness, is based on OPENFEA technology, through the impact of network security assets, loopholes, attacks, abnormal traffic and other factors to carry out big data analysis, so that users macro, global understanding of the security situation of the network, dynamic grasp of the specific environment of the network risk evolution process. So as to effectively ensure the security of cyberspace, to build a "protection + monitoring" of the comprehensive security system.

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Case two: User behavior anomaly Analysis

User Abnormal Behavior Analysis (abbreviated as UBA), is based on the OPENFEA machine learning algorithm as the core detection means, through the police application log to carry out mining analysis, fast and accurate positioning of the public security network abnormal behavior of an analysis model.

UBA by using OPENFEA to load the original behavior data of target user, and to analyze and process the data in depth, it discovers and extracts the key latitude data which can actually reflect each target user's behavior, thus scientifically constructs the effective data model, and then uses many advanced machine learning algorithms to calculate the model data. Finally, the data model is cured and released through the visualization technology, which realizes the cycle scheduling of the model and the on-demand dynamic presentation and extraction of the calculation results.

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Case Three: Portrait image

A character portrait that quickly paints a person's tag attributes by collecting and analyzing key information data such as the user's application log and operation behavior. Each group of labels is supported by multidimensional data to facilitate review and inspection. Through the portrait of people, we can fully grasp the personnel work dynamic and attribute classification.

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Case FOUR: Chain debts closed-loop analysis

Chain debts closed-loop analysis, based on OPENFEA Technology, collects and analyzes the economic instruments of court judgments, after excavation and processing, can quickly identify the creditor's rights and debts, and draw multi-dimensional debt relationship map. Finally, solve the problem of creditor's rights such as chain debts and serial debt, and provide impetus for economic reform.

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Case five: Real-time website detection

Real-time website detection, is in real-time collection of major news sites nationwide, e-commerce, Weibo, Forum on the basis of the use of OPENFEA technology, the public sentiment, malicious keywords, the brand crisis caused by malicious evaluation, price fluctuations and other information to focus on monitoring, and visual graphics second-level output analysis results at the same time, The first time through the mail, mobile phone messages, and other ways to inform users. 1000 sites, hundreds of monitoring analysis rules, 5 seconds to receive monitoring notifications.

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OPENFEA Application Cases