DocumentCode
2551501
Title
A New Malware Detection Method based on Raw Information
Author
Han, Qiao-ling ; Hao, Yu-jie ; Zhang, Yan ; Lu, Zhi-Peng ; Zhang, Rui
Author_Institution
Dept. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
fYear
2008
fDate
13-15 Dec. 2008
Firstpage
307
Lastpage
310
Abstract
The malicious code has characteristic of various types, and its ability of hiding increases quickly. In this paper, according to the analysis of hiding technology of malicious programs, it proposed a new idea of detecting malware based on the raw data. Finally, the results are given, which are compared with the current security detection scanners. It is a beneficial attempt of this method in detecting unknown malware.
Keywords
invasive software; system monitoring; malicious code; malicious programs; malware detection; raw information; security detection scanners; Buffer storage; Chemical technology; Computer science; Gas detectors; Information retrieval; Information security; Intrusion detection; Libraries; Object detection; Operating systems; Malware; detection; rootkit; system call;
fLanguage
English
Publisher
ieee
Conference_Titel
Apperceiving Computing and Intelligence Analysis, 2008. ICACIA 2008. International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-3427-5
Electronic_ISBN
978-1-4244-3426-8
Type
conf
DOI
10.1109/ICACIA.2008.4770030
Filename
4770030
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