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Android Malware Detection Amid COVID-19 by rohitcss710 is a document available to read on EtoBox.

The document discusses the development of a malware detection and analysis model specifically for Android applications during the COVID-19 pandemic. It highlights the increase in mobile malware threats due to the rise in mobile app usage and outlines a systematic approach to classify apps as benign or malicious using machine learning techniques. The research includes the collection of a dataset of apps from various sources and the implementation of a feature extraction and classification methodology to enha

Author
rohitcss710
Language
EN