Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/23053
Title: Towards a tunable, sandbox-independent approach for exploring hidden behavior in malware
Authors: Gatt, James
Vella, Mark
Micallef, Mark
Keywords: Malware (Computer software) -- Prevention
Computer viruses
Computer simulation
Issue Date: 2013-11
Publisher: University of Malta. Faculty of ICT
Citation: Gatt, J., Micallef, M., & Vella, M. (2013). Towards a tunable, sandbox-independent approach for exploring hidden behavior in malware. Computer Science Annual Workshop CSAW’13, Msida. 2-4.
Abstract: Malware analysis is the reverse engineering of malicious binaries in order to explore and extract their complete behaviour for protecting against attacks and to disinfect the affected sites. The dynamic analysis of malware inside sandboxes is useful since it removes the need for the analyst to look into the malware code itself.
URI: https://www.um.edu.mt/library/oar//handle/123456789/23053
Appears in Collections:Scholarly Works - FacICTCS

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