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- 2016
基于耗电分析的Android平台恶意软件检测
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Abstract:
该文提出一种基于电量分析的恶意软件检测方法。首先获取移动终端的耗电状态并利用Mel频谱倒谱系数（MFCC）构建高斯混合模型（GMM）。然后采用GMM模型对电量消耗状态进行分析，进而通过对应用软件的分类处理识别恶意软件。实验证明应用软件的功能与电量消耗关系密切，表明基于软件的电量消耗信息分析可以较准确地检测出移动终端的恶意应用。
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