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http://hdl.handle.net/10609/52890
Title: | Detección de anomalías HTTP trazando la sesión web de un usuario |
Author: | Capraru Pons, Cristian Alexandre |
Director: | Garrigues, Carles |
Tutor: | Rifà-Pous, Helena |
Others: | Universitat Oberta de Catalunya |
Abstract: | The use of distributed and other types of IDS (Intrusion Detection Systems) allows a wider range of intrusions to be detected. Furthermore, if several IDS are looking for the same group of attacks, the certainty about emitted alerts of this IDS is incremented, lowering the false positives. After analysing the current state of rule-based IDS, several questions arise: Can we optimize our security tools? Can we reduce the information flows by filtering them using rule-based applications? This thesis pretends to answer this questions and to give a solution. It will analyse the causes why the programs that are filtering information are saturated and it will propose a tool for pre-filtering non relevant content. Therefore, the final target of this investigation and implementation work is to create a tool that will optimize a security system like the IDS. |
Keywords: | IDS cybersecurity HTTP URL |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | 1-May-2016 |
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 | |
---|---|---|---|---|
Software y PCAP.zip | Software necesario para el TFM | 10,35 MB | zip | View/Open |
ccapraruTFM0716memòria.pdf | Memoria del TFM | 2,77 MB | Adobe PDF | View/Open |
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