DocumentCode :
3034764
Title :
An identification method on unknown malicious code based on the good or Evil index of API
Author :
Zhu, Lijun
Author_Institution :
Coll. of Comput. Sci. & Technol., Shenyang Univ. of Chem. Technol., Shenyang, China
fYear :
2011
fDate :
26-28 July 2011
Firstpage :
5285
Lastpage :
5288
Abstract :
This paper puts forward a algorithm based on the good or evil index of API(AGEI) to identify unknown malicious code, it can judge whether the code is malicious or not by a judgement threshold based on the degree of good or evil related API which is catched when the code execute. The experiments result shows that the proposed identification method achieves a good effect on unknown malicious code detection.
Keywords :
application program interfaces; invasive software; API; identification method; unknown malicious code detection; Bayesian methods; Bismuth; Chemical technology; Indexes; Information technology; Malware; Sockets; dynamic behavior; judgement threshold; legal code; malicious code;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-61284-771-9
Type :
conf
DOI :
10.1109/ICMT.2011.6002309
Filename :
6002309
Link To Document :
بازگشت