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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 Olivella, Carles  
Tutor: Rifà Pous, Helena  
Others: Universitat Oberta de Catalunya
Keywords: IDS
cybersecurity
HTTP
URL
Issue Date: 1-May-2016
Publisher: 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.
Language: Spanish
URI: http://hdl.handle.net/10609/52890
Appears in Collections:Bachelor thesis, research projects, etc.

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Software y PCAP.zipSoftware necesario para el TFM10.35 MBzipView/Open
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