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Variable-length sequential dynamic features-based malware detection①
基金项目:the National High Technology Research and Development Programme of China(2013AA014702),the Fundamental Research Funds for the Central University(2014PTB-00-04),the China Next Generation Internet Project (No.CNGI-12-02-027).
摘    要:In order to solve the problem that traditional signature-based malware detection systems are in-efficacious in detecting new malware , a practical malware detection system is constructed to find out new malware .Application programming interface ( API) call sequence is introduced to capture ac-tivities of a program in this system .After that, based on variable-length n-gram, API call order can be extracted from API call sequence as the malicious behavior feature of a software .Compared with tra-ditional methods , which use fixed-length n-gram, the solution can find more new malware .The experi-mental results show that the presented approach improves the accuracy of malware detection .

关 键 词:application  programming  interface(API)  call  order  variable-length  n-gram  malware  detection
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