Android is the platform most targeted by attackers. While security solutions have improved against such attacks on one side, attackers introduce new variants of existing malware by employing new strategies to evade them on another side. One of the most effective evasion techniques widely used is updating malicious code at runtime. Existing mobile security solutions are generally ineffective in detecting such attacks. The main objective of this project is to analyze updated attacks deeply, and to propose security solutions against such attacks by using static and dynamic analysis based detection techniques.
Sponsored by Tubitak
A. I. Aysan, F. Sakiz, S. Sen
IET Information Security, Volume 13, Issue 3, pp. 269-277, 2019UpDroid: Updated Android Malware and Its Familial Classification
Kursat Aktas, S. Sen
Proc. of the 23rd Nordic Conference on Secure IT Systems(NordSec 2018)O.F.T. Cavli, S. Sen
ISCTurkey 2020V. Hatas, S. Sen, I. Butun, S. Forsstrom, M. Gidlund
IEEE QRS 2019Android Malware Detection Based on Runtime Behaviour
Kursat Aktas, S. Sen
Proc. of the IEEE 26. Sinyal Isleme ve Iletisim Uygulamalari Kurultayi (SIU 2018) - in TurkishSAFEDroid: Using Structural Features for Detecting Android Malwares
S. Sen, A.I. Aysan, J.A. Clark
Proc. of the 14th EAI International Conference on Security and Privacy in Communication Networks (SecureComm 2017), LNICST, vol. 239, pp.255-270, Springer, 2018"Do You Want to Install an Update of This Application?" A Rigorous Analysis of Updated Android Applications
A.I. Aysan, S. Sen
Proc. of the 2nd IEEE International Conference on Cyber Security and Cloud Computing (CSCloud), 2015Date: June, 2021