Research on standardization of the Android malware detection results

Yang Liu, Ya Zhang, Hui Wang, Juan Xu, Jiwen Li
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引用次数: 1

Abstract

Diverse antivirus engines have different naming rules for Android malwares, so that they return detection results of the same application in different expression forms. This paper researches the naming methods of the malwares by the engines, and institutes a standardized naming rule for the malwares which is easy to understand. This paper also designs a method to standardize the Android application's detection results provided by the engines. The method uses the character recognition and the sample matching to realize the unification of the detection results, and obtain the results in standard form which have clear meanings and available for evaluation. The experimental results show that the method can effectively unify various forms of detection results, and provide explicit and rich application identification information.
Android恶意软件检测结果标准化研究
不同的防病毒引擎对Android恶意软件有不同的命名规则,导致对同一应用程序的检测结果会以不同的表达式形式返回。研究了基于引擎的恶意软件命名方法,建立了一套便于理解的标准化恶意软件命名规则。本文还设计了一种方法,对引擎提供的Android应用程序检测结果进行标准化。该方法采用字符识别和样本匹配的方法,实现了检测结果的统一,得到了意义明确、便于评价的标准形式的结果。实验结果表明,该方法能有效地统一各种形式的检测结果,提供明确、丰富的应用识别信息。
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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