decompiled Android application package (APK) files and establish an HIN mainly through transforming publicly available at github com/RingBDStack/HAWK
tnnls2021-hawk.pdf
droid malware detection The high-level idea is to con- struct a substitute model, identify the key features of a malicious APK file, and generate an
icpads21-zhang.pdf
GitHub repository; additional rules can be created easily In this paper we use Quark version 21 5 1 TEST SAMPLES The Android malicious samples we refer
VB2021-Apvrille.pdf
Keywords Genetic algorithms, Neural networks, SVM, Android, APK, malware, Artificial Intelligence Evolutionary algorithms in Android malware analysis
TFG_Sara-Yuste_Fernandez_Alonso.pdf
Keywords: Android Malware; Static analysis; API-calls; Permissions; mixture of malware and benign Android Application Package (APK) files taken from a
pdf?md5=900da27e4c1cb6909ca33812ec37cc63&pid=1-s2.0-S1877050921007481-main.pdf
are going to study the analysis of malware on Android and develop a static Android apps are packaged and distributed in APK (Application Package) files
COSTALES%20DE%20LEDESMA%2064210_RAMON_COSTALES_DE_LEDESMA_Malware_Analysis_on_Android_784051_1903261751.pdf
A Tool for Reverse Engineering Android APK Files https://ibot · peaches github io/Apktool/ [3] Daniel Arp, Michael Spreitzenbarth, Malte Hubner, Hugo Gascon
apigraph.pdf