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Android Malware Detection Using ML by IJRASETPublications is a document available to read on EtoBox.

The document discusses detecting malware in Android phones using machine learning. It analyzes related work using classifiers like SVM, decision trees and bagging. It then proposes detecting malware by extracting permissions and API calls as features for ML models like random forest and deep learning neural networks.

Author
IJRASETPublications
Language
EN