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Dec 9, 2020 · In this paper, we present the feature selection and grouping method for Android malware classification. This method divides each Android API name into unit ...
Nov 21, 2024 · For malware classification, the accuracy of classifying malicious apps under their proper family labels is 96%. Although performing data flow ...
Aug 26, 2020 · In this paper, we have developed a tool to perform an analysis for all APIs over an APK and all APIs of every version of Android, ...
TL;DR: This paper discusses classification using support vector machines in a normalized feature space using the fact that in this setting all points lie on the ...
Entropy-Based Feature Grouping in Machine Learning for Android Malware Classification ... classification algorithms in permission based Android malware ...
Oct 22, 2024 · In this paper, the content of a malicious program is represented as an entropy stream, where each value describes the amount of entropy of a ...
This study proposes a new method named Entropy Signal Reflects the Malicious Document (ESRMD), which can identify malicious documents based on the entropy ...
Apr 20, 2024 · This study proposes a novel permission-based Android malware detection system that uses feature importance score as feature selection method.
May 10, 2024 · Authors developed a framework named as “DeepDroid” based on deep learning algorithm. They use six different feature ranking algorithms on the ...
Mar 9, 2023 · This paper presents a detection solution for different Android malware categories, including adware, banking, SMS malware, and riskware.
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