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http://hdl.handle.net/10609/66365
Title: | An automated behaviour-based malware analysis method based on free open source software |
Author: | Rubio Ayala, Sebastian |
Tutor: | Serra-Ruiz, Jordi |
Others: | Universitat Oberta de Catalunya |
Abstract: | Most of the currently proposed solutions for automated malware behaviour-analysis in the literature are fully or partly based on commercial software or in obsolete software. An automated behaviour-based method of analysis based on free open source software as alternative to the existing ones is proposed here. This method will help to determine if a software sample is malware that can allow in a later step to generate static fingerprints for IPS/IDS and Antivirus software. The results of some experiments based on the proposed model are commented. |
Keywords: | behaviour analysis machine learning malware FOSS Cuckoo |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | Jun-2017 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | UOC Learning resources Recursos Educativos UOC Abiertos |
Files in This Item:
File | Description | Size | Format | |
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srubioayTFC0617memoria.pdf | Memoria del TFM | 247,05 kB | Adobe PDF | View/Open |
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