2026-10-17T18:11:21Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/3648 2021-12-13T00:59:42Z 1582963302567:1597824273898 user-ucsy

Score-Based Feature Selection for Malware in Android Application Hein, Chit La Pyae Myo Myo, Khin Mar Mobile malware performs malicious activitieslike stealing private information, sending messageSMS, reading contacts can harm by exploiting data.Malware spreads around the world infects not only endusers applications but also large organizations serviceproviders systems. Malware classification is a vitalcomponent that works together with malwareidentification to prepare the correct effective malwareantidote. Malware feature selection is also importantto reduce cost and time for malware identification.They may have many features in every mobile androidapplication. Score Based feature selection method isproposed in this paper based on the study of Androidapplication package (.apk)file. According to theexperiment on different classifiers, the results showthat our proposed feature selection method isapplicable as a light weight approach. 2015-02-05 http://hdl.handle.net/20.500.12678/0000003648 https://meral.edu.mm/records/3648