作者: Zarni Aung , Win Zaw
DOI:
关键词: Cryptovirology 、 Mobile device 、 Computer security 、 Malware 、 World Wide Web 、 Computer science 、 Android malware 、 Android (operating system) 、 Android application 、 Permission
摘要: Mobile devices have become popular in our lives since they offer almost the same functionality as personal computers. Among them, Android-based mobile had appeared lately and, were now an ideal target for attackers. smartphone users can get free applications from Android Application Market. But, these not certified by legitimate organizations and may contain malware that steal privacy information users. In this paper, a framework detect android is propos ed to help organizing The proposed intends develop machine learning-based detection system on enhance security of This monitors various permissionbased features events obtained applications, analyses using learning classifiers classify whether application goodware or malware.