BRIDEMAID:一个精确检测Android恶意软件的混合工具

Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security Pub Date : 2017-04-02 DOI:10.1145/3052973.3055156

F. Martinelli, F. Mercaldo, A. Saracino

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引用次数: 64

摘要

本文提出了BRIDEMAID框架，该框架利用静态和动态两种方法来精确检测Android恶意软件。静态分析基于n图匹配，而动态分析基于对设备、应用程序和用户行为的多级监控。该框架已经对2794个恶意应用程序进行了测试，报告检测准确率为99.7%，假阳性率可以忽略不计，在一组10k个真正的应用程序上进行了测试。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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BRIDEMAID: An Hybrid Tool for Accurate Detection of Android Malware

This paper presents BRIDEMAID, a framework which exploits an approach static and dynamic for accurate detection of Android malware. The static analysis is based on n-grams matching, whilst the dynamic analysis is based on multi-level monitoring of device, app and user behavior. The framework has been tested against 2794 malicious apps reporting a detection accuracy of 99,7% and a negligible false positive rate, tested on a set of 10k genuine apps.

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Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security

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