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- W2291614505 abstract "Data leakage is a permanent problem in public and private institutions around the world; particularly, identifying the information leakage ef ficiently. In order to solve this problem, this paper poses an adaptable data structure ba- sed on human behavior using all the activities executed within the computer system. When applying this structure, the normal behavior is modeled for each user, so in this way, detects any abnormal behavior in real time. Moreover, this structure enables the application of several classification techniques such as decision trees (C4.5), UCS, and Naive Bayes, these techniques have proven efficient outcomes in intrusion de - tection. In the testing of this model, a scenario demonstrating the proposal's effectiveness with real information from a government institution was designed so as to establish future lines of work." @default.
- W2291614505 created "2016-06-24" @default.
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- W2291614505 creator A5065827766 @default.
- W2291614505 date "2015-01-01" @default.
- W2291614505 modified "2023-10-02" @default.
- W2291614505 title "Data Leakage Detection Using Dynamic Data Structure and Classification Techniques * Detección de Fugas de Información Aplicando Estructura de Dinámica de Datos y Técnicas de Clasificación" @default.
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- W2291614505 hasPublicationYear "2015" @default.
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