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Protecting From Malware Obfuscation Attacks Through Adversarial Risk Analysis
Author(s) -
Redondo Alberto,
Insua David Ríos
Publication year - 2020
Publication title -
risk analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.972
H-Index - 130
eISSN - 1539-6924
pISSN - 0272-4332
DOI - 10.1111/risa.13567
Subject(s) - obfuscation , malware , adversarial system , computer science , computer security , software , malware analysis , risk analysis (engineering) , data science , artificial intelligence , programming language , medicine
Abstract Malware constitutes a major global risk affecting millions of users each year. Standard algorithms in detection systems perform insufficiently when dealing with malware passed through obfuscation tools. We illustrate this studying in detail an open source metamorphic software, making use of a hybrid framework to obtain the relevant features from binaries. We then provide an improved alternative solution based on adversarial risk analysis which we illustrate describe with an example.