What question did this study set out to answer?

To present a hybrid framework for the detection and analysis of Android malware.

April 26, 2026Open Access

Repository Copy of: DroidDissection: A Hybrid Analysis Framework for Android Malware Detection and Analysis

Key Points

To present a hybrid framework for the detection and analysis of Android malware.
Developed a hybrid analysis framework combining automated and manual techniques for malware detection.
Utilized existing malware datasets for validation of the proposed methods.
Achieved higher detection rates compared to traditional methods, improving accuracy.
Demonstrated effectiveness in analyzing various types of Android malware.

Abstract

This record is a repository-preserved copy of an article originally published in The European Journal of Research and Development by Orclever Science it is not the version of record, and Zenodo is not the publisher of this work. Version of Record (primary publication): https://doi.org/10.56038/ejrnd.v5i1.655 Publisher: Orclever Science & Research Group. Journal: The European Journal of Research and Development. For citation, please use the Crossref DOI and the journal citation above — not the Zenodo DOI.

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