TY - GEN
T1 - Clustering-based anomaly detection for smartphone applications
AU - El Attar, Ali
AU - Khatoun, Rida
AU - Lemercier, Marc
PY - 2014/1/1
Y1 - 2014/1/1
N2 - Nowadays, Smartphones have been widely used due to their capabilities in communication and multimedia processing. Smartphones provide access to a tremendous amount of sensitive information related to business, such as customer contacts, financial data, and Intranet networks. Hence, the Internet of the future will be mobile Internet. However, threat of malicious software has become an important factor in the smartphones security. In this paper, a new behavior-based malware detection framework using three clustering methods (PAM, DBSCAN and t-distribution) is proposed. Experimental results show that the approach has high detection rate and low rate of false positive and false negative.
AB - Nowadays, Smartphones have been widely used due to their capabilities in communication and multimedia processing. Smartphones provide access to a tremendous amount of sensitive information related to business, such as customer contacts, financial data, and Intranet networks. Hence, the Internet of the future will be mobile Internet. However, threat of malicious software has become an important factor in the smartphones security. In this paper, a new behavior-based malware detection framework using three clustering methods (PAM, DBSCAN and t-distribution) is proposed. Experimental results show that the approach has high detection rate and low rate of false positive and false negative.
U2 - 10.1109/NOMS.2014.6838385
DO - 10.1109/NOMS.2014.6838385
M3 - Conference contribution
AN - SCOPUS:84904152442
SN - 9781479909131
T3 - IEEE/IFIP NOMS 2014 - IEEE/IFIP Network Operations and Management Symposium: Management in a Software Defined World
BT - IEEE/IFIP NOMS 2014 - IEEE/IFIP Network Operations and Management Symposium
PB - IEEE Computer Society
T2 - IEEE/IFIP Network Operations and Management Symposium: Management in a Software Defined World, NOMS 2014
Y2 - 5 May 2014 through 9 May 2014
ER -