Title :
Detection of malware infection using score level fusion with Kernel Fisher Discriminant Analysis
Author :
Ichino, Masatsugu ; Ohtsuki, Yusuke ; Hatada, Mitsuhiro ; Yoshiura, Hiroshi
Author_Institution :
Grad. Sch. of Inf. & Eng., Univ. of Electro-Commun., Chofu, Japan
Abstract :
The malware attack is increasing in both breadth and depth, and damage from botnets, whose activities are unabated, and infections from the Web have recently increased. We therefore studied the malware infection detection method by comparing malware traffic with normal traffic. We propose the malware infection detection using score level feature fusion with Kernel Fisher Discriminant Analysis.
Keywords :
Internet; invasive software; World Wide Web; botnets; kernel Fisher discriminant analysis; malware attack; malware infection detection; malware traffic; normal traffic; score level feature fusion; Accuracy; Educational institutions; Feature extraction; Kernel; Malware; Vector quantization; Vectors;
Conference_Titel :
Consumer Electronics (GCCE), 2013 IEEE 2nd Global Conference on
Conference_Location :
Tokyo
Print_ISBN :
978-1-4799-0890-5
DOI :
10.1109/GCCE.2013.6664914