Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 임을규 | - |
dc.date.accessioned | 2018-04-03T01:06:48Z | - |
dc.date.available | 2018-04-03T01:06:48Z | - |
dc.date.issued | 2014-06 | - |
dc.identifier.citation | In: IET Conference Publications. (IETConference Publications, 2014, 2014(CP639),p.263-268 | en_US |
dc.identifier.uri | http://ieeexplore.ieee.org/document/6912767/ | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/55453 | - |
dc.description.abstract | Emerging sophisticated malware utilises obfuscation to circumvent detection. This is achieved by using packers to disguise their malicious intent. In this paper a novel malware detection method for detecting packed executable files using entropy analysis is proposed. It utilises a reduced feature set of variables to calculate an entropy score from which classification can be performed. Competitive analysis with state-of-the-art reveals an increase in classification accuracy. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IET | en_US |
dc.subject | Obfuscation | en_US |
dc.subject | Packing | en_US |
dc.subject | Malware | en_US |
dc.subject | Security. | en_US |
dc.title | Feature set reduction for the detection of packed executables | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1049/cp.2014.0696 | - |
dc.relation.page | 263-268 | - |
dc.contributor.googleauthor | Burgess, Colin | - |
dc.contributor.googleauthor | Sezer, Sakir | - |
dc.contributor.googleauthor | McLaughlim, Kieran | - |
dc.contributor.googleauthor | Im, Eul Gyu | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF COMPUTER SCIENCE | - |
dc.identifier.pid | imeg | - |
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