混淆
恶意软件
计算机安全
对抗制
计算机科学
互联网隐私
风险分析(工程)
业务
人工智能
作者
Alberto Redondo,David Rı́os Insua
出处
期刊:Risk Analysis
[Wiley]
日期:2020-07-21
卷期号:40 (12): 2598-2609
被引量:3
摘要
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.
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