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A New Android Malware Detection Approach Using Bayesian Classification
Mobile malware has been growing in scale and complexity as smartphone usage continues to rise. Android has surpassed other mobile platforms as the most popular whilst also witnessing a dramatic increase in malware targeting ...
N-opcode Analysis for Android Malware Classification and Categorization
Malware detection is a growing problem particularly on the Android mobile platform due to its increasing popularity and accessibility to numerous third party app markets. This has also been made worse by the increasingly ...
Dynalog: An Automated Dynamic Analysis Framework for Characterizing Android Applications
Android is becoming ubiquitous and currently has the largest share of the mobile OS market with billions of application downloads from the official app market. It has also become the platform most targeted by mobile malware ...
Analysis of Bayesian classification-based approaches for Android malware detection
Mobile malware has been growing in scale and complexity spurred by the unabated uptake of smartphones worldwide. Android is fast becoming the most popular mobile platform resulting in sharp increase in malware targeting ...