@inproceedings{8d66239ab5b14c26858ec17c30f79074,
title = "Feature set reduction for the detection of packed executables",
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.",
keywords = "Malware, Obfuscation, Packing, Security",
author = "Colin Burgess and Sakir Sezer and Kieran McLaughlin and Im, {Eul Gyu}",
year = "2014",
month = jan,
day = "1",
doi = "10.1049/cp.2014.0696",
language = "English",
series = "IET Conference Publications",
publisher = "Institution of Engineering and Technology",
number = "CP639",
pages = "263--268",
booktitle = "IET Conference Publications",
address = "United Kingdom",
edition = "CP639",
note = "25th IET Irish Signals and Systems Conference, ISSC 2014 and China-Ireland International Conference on Information and Communications Technologies, CIICT 2014 ; Conference date: 26-06-2014 Through 27-06-2014",
}