恶意软件
计算机科学
分类
情报检索
信息抽取
人工智能
噪声数据
隐病毒学
索引(排版)
万维网
数据挖掘
恶意软件分析
语义学(计算机科学)
命名实体
特征提取
作者
Silvia Sebastián,Juan Caballero
出处
期刊:Annual Computer Security Applications Conference
日期:2020-12-07
卷期号:: 42-53
被引量:101
标识
DOI:10.1145/3427228.3427261
摘要
Tags can be used by malware repositories and analysis services to enable searches for samples of interest across different dimensions. Automatically extracting tags from AV labels is an efficient approach to categorize and index massive amounts of samples. Recent tools like AVclass and Euphony have demonstrated that, despite their noisy nature, it is possible to extract family names from AV labels. However, beyond the family name, AV labels contain much valuable information such as malware classes, file properties, and behaviors.
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