Title :
API call and permission based mobile malware detection (in english)
Author :
Aysan, Ahmet Ilhan ; Sen, Sevil
Author_Institution :
Bilgisayar Muhendisligi Bolumu, Hacettepe Univ., Ankara, Turkey
Abstract :
Sales of smartphones have substantially increased in recent years. This demand has turned attackers´ attention to mostly Android based smartphones. Attackers develop malwares especially for Android which is open source operating system and they share source code with each other in order to develop malwares. Most of the researchers proposed solutions to detect malwares. However, most of the solutions are appeared that they are needed high computationally power and have low accuracy rate. In this study, we developed API call and permission based static analysis methodology for Android applications.
Keywords :
application program interfaces; invasive software; mobile computing; operating systems (computers); public domain software; smart phones; API call; Android based smartphones; open source operating system; permission based mobile malware detection; permission based static analysis methodology; source code sharing; Androids; Google; Humanoid robots; Malware; Mobile communication; Smart phones; API call; Android; machine learning; mobile malware; permission; static analysis;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7130365