Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGatt, James-
dc.contributor.authorVella, Mark Joseph-
dc.contributor.authorMicallef, Mark-
dc.identifier.citationGatt, 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.en_GB
dc.description.abstractMalware 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.en_GB
dc.publisherUniversity of Malta. Faculty of ICTen_GB
dc.subjectMalware (Computer software) -- Preventionen_GB
dc.subjectComputer virusesen_GB
dc.subjectComputer simulationen_GB
dc.titleTowards a tunable, sandbox-independent approach for exploring hidden behavior in malwareen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.bibliographicCitation.conferencenameComputer Science Annual Workshop CSAW’13en_GB
dc.bibliographicCitation.conferenceplaceMsida, Malta, 2013en_GB
Appears in Collections:Scholarly Works - FacICTCS

Files in This Item:
File Description SizeFormat 
Proceedings of CSAW’13 - A1.pdf2.07 MBAdobe PDFView/Open

Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.