An Evaluation of Machine Learning Approaches for Hierarchical Malware Classification

An Evaluation of Machine Learning Approaches for Hierarchical Malware Classification

With an evermore growing threat of new malware that keeps growing in both number and complexity, the necessity for improvement in automatic detection and classification of malware is increasing. The signature-based approaches used by several Anti-Virus companies struggle with the increasing amount o...

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Bibliographic Details
Main Authors: Roth, Robin, Lundblad, Martin
Format: Others
Language:English
Published: Blekinge Tekniska Högskola, Institutionen för datavetenskap 2019
Subjects:
Machine Learning
Hierarchical Malware Classification
Static Malware Analysis
Mnemonic N-grams
Other Computer and Information Science
Annan data- och informationsvetenskap
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:bth-18260

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