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
Link To Document :
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