Please use this identifier to cite or link to this item:
http://hdl.handle.net/10609/91066
Title: | Aplicación de técnicas de Machine Learning a la seguridad |
Author: | Moscardó Pérez, Juan Carlos |
Director: | Garcia-Font, Victor |
Tutor: | Hernández Jiménez, Enric |
Abstract: | The aim of this work is the design and development of a web attacks predictive detector. This detector will be accessible via webservice. The dataset chosen was "HTTP DATASET CSIC 2010". This dataset contains the generated traffic targeted to an e-commerce web application developed at the CSIC department. The 85% of the dataset was used for training purposes and the remaining 15% for testing and verification. The work includes different stages: dataset study, dataset preprocessing, features selection, algorithm selection and optimization, design, training, verification and testing. The project has been made through Decision Tree Classifier algorithm in Python and Scikit-learn. |
Keywords: | computer security machine learning |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | Dec-2018 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Trabajos finales de carrera, trabajos de investigación, etc. |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
jmoscardoTFM0119memoria.pdf | Memoria del TFM | 3,03 MB | Adobe PDF | View/Open |
Share:
This item is licensed under a Creative Commons License