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Malware Detection 1 by pubg62299 is a document available to read on EtoBox.

What is Malware Detection 1 about?

The project focuses on developing an Android malware detection system that utilizes co-existed features, such as permissions and API calls, to enhance detection accuracy. By employing machine learning algorithms like Random Forest, the system aims to classify applications as either malware or benign, thereby improving user data protection. This approach addresses the limitations of traditional detection methods that rely on individual features and is applicable in mobile security and app store verification

Author

pubg62299

Language

EN