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首页> 外文期刊>International Journal of Information Security >ADroid: anomaly-based detection of malicious events in Android platforms
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ADroid: anomaly-based detection of malicious events in Android platforms

机译:Android:基于异常的基于Android平台的恶意事件的检测

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摘要

As mobile devices become more and more adopted by users for daily personal and professional activities, associated security risks and impact to them also increase. Although there are a number of proposals aimed at fighting against such incidents, the topic still remains challenging. This paper presents ADroid, a novel security tool for Android platforms with three main distinguishing characteristics. First, three groups of features are monitored over time: interfaces usage, application-related and communication-related features. Second, a lightweight anomaly-based detection procedure is performed over these features in order to determine the occurrence of unexpected abnormal activities. Third, the user can also create specific white/black lists to indicate in an easy way certain allowed/undesired activities which, if so, should trigger an alarm by the supervision system. ADroid has been implemented in a real environment and evaluated through experimentation. The detection accuracy exhibited and the resources consumption involved in its operation show the goodness and promising capabilities of the system.
机译:由于移动设备越来越多地被用户越来越多地采用日常个人和专业活动,所带来的安全风险和对他们的影响也增加。虽然有一些旨在反对此类事件的提案,但该主题仍然持挑战性。本文介绍了Android平台的新型安全工具,具有三个主要区别特征。首先,通过时间监控三组功能:接口使用,应用相关和通信相关的功能。其次,在这些特征上执行轻量化的基于异常的检测程序,以便确定意外的异常活动的发生。第三,用户还可以创建特定的白色/黑色列表,以简单的方法指示某种允许/不期望的活动,如果是,则应通过监控系统触发警报。 Araid已在真实环境中实施,并通过实验进行评估。展出的检测精度和其操作中涉及的资源消耗显示了系统的善良和有前途的能力。

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