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Mar 29, 2018 · Our framework detects malware based on the local and global scores, and each score is calculated based on the confidence values. Therefore, the ...
This paper proposes a dynamic analysis framework for Android malware detection that overcomes the aforementioned shortcomings and designed the framework ...
In this paper, we propose a dynamic analysis framework for Android malware detection that overcomes the aforementioned shortcomings. ... In addition, an ...
We divide the runtime into two parts: i) Preprocessing time: the required time to extract and preprocess the sequences of Android API method calls. ii) ...
Mar 29, 2018 · In this paper, we propose a dynamic analysis framework for Android malware detection that overcomes the aforementioned shortcomings. The ...
Our detection method Anti-Hijack is a novel contribution in this area which provides light weight, device operated run-time detection at hijacking malware.
TL;DR: This paper proposes a dynamic analysis framework for Android malware detection that overcomes the aforementioned shortcomings and designed the ...
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Oct 6, 2023 · On the Android platform, dynamic analysis traces an APK sample's execution and extracts runtime information for malware detection and analysis.
In this paper, an Optimized and efficient Ensemble Learning-based Android Malware Detection framework, called “OEL-AMD” is proposed.
Sep 6, 2024 · We present BPFroid -- a novel dynamic analysis framework for Android that uses the eBPF technology of the Linux kernel to continuously monitor events of user ...