Mining Dominance Tree of API Calls for Detecting Android Malware
| dc.authorid | Alam, Shahid/0000-0002-4080-8042 | |
| dc.contributor.author | Alam, Shahid | |
| dc.contributor.author | Yildirim, Serdar | |
| dc.contributor.author | Hassan, Mahamat | |
| dc.contributor.author | Sogukpinar, Ibrahim | |
| dc.date.accessioned | 2025-01-06T17:36:20Z | |
| dc.date.available | 2025-01-06T17:36:20Z | |
| dc.date.issued | 2018 | |
| dc.description | 2nd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) -- OCT 19-21, 2018 -- Kizilcahamam, TURKEY | |
| dc.description.abstract | 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. | |
| dc.description.sponsorship | IEEE Turkey Sect,Karabuk Univ,Kutahya Dumlupinar Univ | |
| dc.identifier.endpage | 195 | |
| dc.identifier.isbn | 978-1-5386-4184-2 | |
| dc.identifier.startpage | 192 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14669/1826 | |
| dc.identifier.wos | WOS:000467794200034 | |
| dc.identifier.wosquality | N/A | |
| dc.indekslendigikaynak | Web of Science | |
| dc.language.iso | en | |
| dc.publisher | IEEE | |
| dc.relation.ispartof | 2018 2nd International Symposium on Multidisciplinary Studies and Innovative Technologies (Ismsit) | |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.snmz | KA_20241211 | |
| dc.subject | Android APK | |
| dc.subject | Malware Analysis and Detection | |
| dc.subject | Dominance Tree | |
| dc.subject | API Calls | |
| dc.subject | Machine Learning | |
| dc.title | Mining Dominance Tree of API Calls for Detecting Android Malware | |
| dc.type | Conference Object |
