Static Analysis for Android Malware detection with Document Vectors

Keyphrases

• Static Analysis 100%
• Feature Creation 100%
• Android Malware Detection 100%
• Document Vector 100%
• Creation Method 100%
• Mobile Platform 66%
• Application Package 66%
• Feature Vector 33%
• Frequency of Use 33%
• Deep Machine Learning 33%
• Android 33%
• Market Players 33%
• Deep Learning Methods 33%
• Binary Classification 33%
• Executable File 33%
• Malware 33%
• Semantic Information 33%
• Frequency-based Approach 33%
• Smart Mobile Devices 33%
• Android Application 33%
• Machine Learning Learning 33%
• Android OS 33%
• Malicious Android Applications 33%
• Document Embedding 33%
• Frequency-based Feature 33%
• Major Markets 33%
• Dalvik 33%
• Natural Language Processing Techniques 33%

Computer Science

• Android Application 100%
• Mobile Platform 100%
• Malware Detection 100%
• Static Program Analysis 100%
• Application Package 100%
• Document Vector 100%
• Android Malware 100%
• Machine Learning 50%
• Learning System 50%
• Feature Vector 50%
• Malware 50%
• Learning Approach 50%
• Android (Operating System) 50%
• Deep Learning Method 50%
• Natural Language Processing 50%
• Executable File 50%
• binary classifier 50%
• Smart Mobile Device 50%
• Documents Embedding 50%