A scalable and accurate feature representation method for identifying malicious mobile applications

SAC, pp. 1182-1189, 2019.

Cited by: 0|Views19


With the dramatic growth in smartphone usage, the number of new malicious mobile applications has increased rapidly. Identifying malicious applications in large-scale datasets is intensive and time consuming. Multiple previous studies have focused on automating the process of malicious application detection using machine (or deep) learnin...More



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