DecisionDroid: a supervised learning-based system to identify cloned Android applications

Ayush Kohli
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引用次数: 3

Abstract

This study presents DecisionDroid, a supervised learning based system to identify cloned Android app pairs. DecisionDroid is trained using a manually verified diverse dataset of 12,000 Android app pairs. On a hundred ten-fold cross validations, DecisionDroid achieved 97.9% precision, 98.3% recall, and 98.4% accuracy.
DecisionDroid:一个基于监督学习的系统,用于识别克隆的Android应用程序
本研究提出了一个基于监督学习的系统DecisionDroid,用于识别克隆的Android应用对。DecisionDroid使用人工验证的12,000个Android应用对的多样化数据集进行训练。在100次10倍交叉验证中,DecisionDroid达到了97.9%的精度,98.3%的召回率和98.4%的准确率。
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