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首页> 外文期刊>Journal of Intelligent Information Systems >'Andromaly': a behavioral malware detection framework for android devices
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'Andromaly': a behavioral malware detection framework for android devices

机译：'Andromaly'：针对Android设备的行为恶意软件检测框架

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摘要

This article presents Andromaly-a framework for detecting malware on Android mobile devices. The proposed framework realizes a Host-based Malware Detection System that continuously monitors various features and events obtained from the mobile device and then applies Machine Learning anomaly detectors to classify the collected data as normal (benign) or abnormal (malicious). Since no malicious applications are yet available for Android, we developed four malicious applications, and evaluated Andromaly's ability to detect new malware based on samples of known malware. We evaluated several combinations of anomaly detection algorithms, feature selection method and the number of top features in order to find the combination that yields the best performance in detecting new malware on Android. Empirical results suggest that the proposed framework is effective in detecting malware on mobile devices in general and on Android in particular.
机译：本文介绍了Andromaly-一种用于在Android移动设备上检测恶意软件的框架。提出的框架实现了基于主机的恶意软件检测系统，该系统连续监视从移动设备获得的各种功能和事件，然后应用机器学习异常检测器将收集到的数据分类为正常（良性）或异常（恶意）。由于尚无可用于Android的恶意应用程序，我们开发了四个恶意应用程序，并根据已知恶意软件的样本评估了Andromaly检测新恶意软件的能力。我们评估了异常检测算法，特征选择方法和主要特征数量的几种组合，以找到在Android上检测新恶意软件的最佳性能组合。实证结果表明，提出的框架可以有效地检测一般移动设备（尤其是Android设备）上的恶意软件。

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  • 来源
    《Journal of Intelligent Information Systems》 |2012年第1期|p.161-190|共30页
  • 作者

    Asaf Shabtai; Uri Kanonov; Yuval Elovici; Chanan Glezer; Yael Weiss;

  • 作者单位

    Deutsche Telekom Laboratories at Ben-Gurion University, Department of Information Systems Engineering, Ben-Gurion University, Be'er Sheva 84105, Israel;

    Deutsche Telekom Laboratories at Ben-Gurion University, Department of Information Systems Engineering, Ben-Gurion University, Be'er Sheva 84105, Israel;

    Deutsche Telekom Laboratories at Ben-Gurion University, Department of Information Systems Engineering, Ben-Gurion University, Be'er Sheva 84105, Israel;

    Deutsche Telekom Laboratories at Ben-Gurion University, Department of Information Systems Engineering, Ben-Gurion University, Be'er Sheva 84105, Israel;

    Deutsche Telekom Laboratories at Ben-Gurion University, Department of Information Systems Engineering, Ben-Gurion University, Be'er Sheva 84105, Israel;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    mobile devices; machine learning; malware; security; android;

    机译：移动设备;机器学习恶意软件;安全;安卓;

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