DocumentCode
2440897
Title
A Context-Based Detection Framework for Advanced Persistent Threats
Author
Giura, P. ; Wei Wang
Author_Institution
AT&T Security Res. Center, New York, NY, USA
fYear
2012
fDate
14-16 Dec. 2012
Firstpage
69
Lastpage
74
Abstract
Besides a large set of malware categories such as worms and Trojan horses, Advanced Persistent Threat (APT) is another more sophisticated attack entity emerging in the cyber threats environment. In this paper we propose a model of the APT detection problem as well as a methodology to implement it on a generic organization network. From our knowledge, the proposed method is the first to address the problem of modeling an APT and to provide a possible detection framework.
Keywords
invasive software; organisational aspects; APT detection problem; Trojan horses; advanced persistent threats; context-based detection framework; cyber threat environment; generic organization network; malware categories; worms; APT; Security;
fLanguage
English
Publisher
ieee
Conference_Titel
Cyber Security (CyberSecurity), 2012 International Conference on
Conference_Location
Washington, DC
Print_ISBN
978-1-4799-0219-4
Type
conf
DOI
10.1109/CyberSecurity.2012.16
Filename
6542528
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