Detection of Java']JavaScript of Malware with un-readability using Mahalanobis-distance

被引:1
|
作者
Takamori, Kentaro [1 ]
Iwamoto, Mai [2 ]
Oshima, Shunsuke [3 ]
Nakashima, Takuo [4 ]
机构
[1] Kumamoto Natl Coll Technol, Prod Syst Engn Course, 2627 Hirayama Shinmachi, Yatsushiro, Kumamoto, Japan
[2] Kumamoto Natl Coll Technol, Ctr Tech & Educ Support, Yatsushiro, Kumamoto, Japan
[3] Kumamoto Natl Coll Technol, ICT Ctr Learning Support, Yatsushiro, Kumamoto, Japan
[4] Tokai Univ, Dept Elect Engn & Comp Sci, Kumamoto, Japan
关键词
!text type='Java']Java[!/text]script malware; Mahalanobis distance; Markov information source;
D O I
10.1109/BWCCA.2014.107
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Increasing of JavaScripts of malware requires automatic malware detection systems in these days. Our research takes note of the appearence probability and the state transition probability of first order Markov source for both of malware JavaScript and other JavaScript. The pre-experiments found statistical significance. We propose the malware detection method using Mahalanobis-distance with the probability variable of the appearance probability of characters and the probability variable of state transition probability of first order Markov source. As the results of experiments, the method of combining two probability variables proved the effectiveness compared to the method using single probability variable.
引用
收藏
页码:497 / 502
页数:6
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