The analysis of feature selection methods and classification algorithms in permission based Android malware detection

• Published in: 2014 IEEE Symposium on Computational Intelligence in Cyber Security (CICS) pp. 1 - 8
• Main Authors: Pehlivan, Ugur, Baltaci, Nuray, Acarturk, Cengiz, Baykal, Nazife
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.12.2014
• Subjects: android application; Androids; classification; Classification algorithms; cyber security; Feature extraction; feature selection; Humanoid robots; machine learning; Malware; malware detection; Smart phones; static analysis

Android mobile devices have reached a widespread use since the past decade, thus leading to an increase in the number and variety of applications on the market. However, from the perspective of information security, the user control of sensitive information has been shadowed by the fast development...