Mininng Dominance Tree of API Calls for Detecting Android Malware
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Tarih
2018
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
According to the recent Symantec threat reports, Android continues to be the most targeted mobile platform, the number of new mobile malware attacks grew by 105% from 2015 to 2016, and the number of new discovered mobile malware variants grew by 54% from 2016 to 2017. A recent McAfee threat report confers that the number of malware families found in the Google play increased by 30% in 2017. There is a need to develop new techniques and methods to stop this inundation of mobile malware attacks. In this paper we propose a new technique named Droid-DomTree that mines dominance tree of API calls in an Android APK for detecting malware. We develop, a sequential model of the dominance tree of API calls and a weighing scheme for assigning weights to each node in the dominance tree for efficient feature selection. A detection rate of 94.3% was obtained with 4 classifiers. © 2018 IEEE.
Açıklama
2nd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2018 -- 19 October 2018 through 21 October 2018 -- Kizilcahamam, Ankara -- 143566
Anahtar Kelimeler
Android APK, API Calls, Dominance Tree, machine Learning, Malware Analysis and Detection
Kaynak
ISMSIT 2018 - 2nd International Symposium on Multidisciplinary Studies and Innovative Technologies, Proceedings
