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  "author": "Ahmed Hashem El Fiky",
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  "author": "Ahmed Hashem El Fiky",
            
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    {
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      "extra_author": "Ayman El Shenawy",
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      "extra_author": "Ayman El Shenawy",
            
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    },
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    {
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      "extra_author": "Mohamed Ashraf Madkour",
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      "extra_author": "Mohamed Ashraf Madkour",
            
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  "name": 
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egory-and-family-detection-and-identification-using-machine-learning",
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egory-and-family-detection-and-identification-using-machine-learning",
            
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  "notes": "Android malware is one of the most dangerous threats on 
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  "notes": "Android malware is one of the most dangerous threats on 
            
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the internet, and its prevalence has increased dramatically in recent 
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the internet, and its prevalence has increased dramatically in recent 
            
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years. Experts in cybersecurity face an open problem. There are a 
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years. Experts in cybersecurity face an open problem. There are a 
            
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variety of machine learning-based approaches for detecting and 
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variety of machine learning-based approaches for detecting and 
            
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classifying Android malware. This article offers a Machine Learning 
54
classifying Android malware. This article offers a Machine Learning 
            
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Model that uses feature selection and a Machine Learning Classifier to 
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Model that uses feature selection and a Machine Learning Classifier to 
            
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successfully perform malware classification and characterization 
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successfully perform malware classification and characterization 
            
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techniques.",
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techniques.",
            
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      "name": "Malware Classification",
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      "name": "Malware Classification",
            
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      "display_name": "Malware Detection",
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      "display_name": "Malware Detection",
            
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  ],
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  "title": "Android Malware Category and Family Detection and 
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  "title": "Android Malware Category and Family Detection and 
            
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Identification using Machine Learning",
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Identification using Machine Learning",
            
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}
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}