Feature Engineering and Evaluation for Android Malware Detection Scheme

A Comparative Study on Optimization, Obfuscation, and Deobfuscation Tools in Android

Representing Multicloud Security and Privacy Policies and Detecting Potential Problems

A Framework for Identifying Obfuscation Techniques applied to Android Apps using Machine Learning

RomaDroid: A Robust and Efficient Technique for Detecting Android App Clones Using a Tree Structure and Components of Each App's Manifest File

Protecting Android Applications with Multiple DEX Files against Static Reverse Engineering Attacks

Efficient Android Malware Detection Using API Rank and Machine Learning

SimAndro: an effective method to compute similarity of Android applications

AndroClass: An Effective Method to Classify Android Applications by Applying Deep Neural Networks to Comprehensive Features

Parallel Multiple Pattern Matching Schemes based on Cuckoo filter for Deep Packet Inspection on Graphics Processing Units