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