Adware detection and privacy control in mobile devices
作者： Ianir Ideses , Assaf Neuberger
DOI: 10.1109/EEEI.2014.7005849
关键词:
摘要: In this paper we propose a system and algorithms for detection of Adware in mobile devices that are based on machine learning capable adapting to the ongoing transformation Malware. The is static dynamic analysis applications, extraction useful features real-time classification. This classification supervised with emphasis fast, linear operations efficient implementation devices. presented enables identification relevant salient Malware, further by security researchers. proposed exhibits rate 97%. has been tested verified known, industry standard, datasets superior state art solutions available market. These result have 3rd party evaluators.
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