Please use this identifier to cite or link to this item: 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/  
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