A New Android Malware Detection Approach Using Bayesian Classification

no code implementations • 2 Aug 2016 • Suleiman Y. Yerima, Sakir Sezer, Gavin McWilliams, Igor Muttik

Mobile malware has been growing in scale and complexity as smartphone usage continues to rise.

Android Malware Detection Classification +2

High Accuracy Android Malware Detection Using Ensemble Learning

no code implementations • 2 Aug 2016 • Suleiman Y. Yerima, Sakir Sezer, Igor Muttik

With over 50 billion downloads and more than 1. 3 million apps in the Google official market, Android has continued to gain popularity amongst smartphone users worldwide.

Android Malware Detection BIG-bench Machine Learning +3

Android Malware Detection: an Eigenspace Analysis Approach

no code implementations • 27 Jul 2016 • Suleiman Y. Yerima, Sakir Sezer, Igor Muttik

The battle to mitigate Android malware has become more critical with the emergence of new strains incorporating increasingly sophisticated evasion techniques, in turn necessitating more advanced detection capabilities.

Cryptography and Security

Android Malware Detection Using Parallel Machine Learning Classifiers

no code implementations • 27 Jul 2016 • Suleiman Y. Yerima, Sakir Sezer, Igor Muttik

Mobile malware has continued to grow at an alarming rate despite on-going efforts towards mitigating the problem.

Android Malware Detection BIG-bench Machine Learning +2