Malware classification using gray-scale images and ensemble learning
Malware authors can easily generate obfuscated and metamorphic malware to evade the detection of anti-virus software using automated toolkits. To identify these variations, we design an efficient system to detect and classify the malicious software. We construct a controlled disassembly files from m...
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Published in | 2016 3rd International Conference on Systems and Informatics (ICSAI) pp. 1018 - 1022 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.11.2016
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Subjects | |
Online Access | Get full text |
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