DocumentCode
141770
Title
A Game Model for Predicting the Attack Path of APT
Author
Xupeng Fang ; Lidong Zhai ; Zhaopeng Jia ; Wenyan Bai
Author_Institution
Beijing Univ. of Posts & Telecommun., Beijing, China
fYear
2014
fDate
24-27 Aug. 2014
Firstpage
491
Lastpage
495
Abstract
As a major threat today, how to defense against APT (advanced persistent attack) effectively becomes a major issue for network security. APT is a combination of past attacks, not a new one. It´s different from any one of previous attacks. Predicting the attack path of APT exactly would be a breakthrough for the future defense in Internet of things. Firstly, the paper proposes classifications of attack and defense for game model from the perspective of game theory. Then, we present the OAPG model, which uses attack path of APT as the attacker´s strategy. Finally, according to the Nash equilibrium, we compute the optimal attack path for the attacker and best-response strategies for the defender.
Keywords
Internet of Things; computer network security; game theory; APT; Internet of Things; Nash equilibrium; OAPG model; advanced persistent attack; attack path prediction; game model; game theory; network security; optimal attack path; Buffer overflows; Computational modeling; Correlation; Games; Predictive models; Servers; Telecommunications; Internet of things; attack path; game model; strategy;
fLanguage
English
Publisher
ieee
Conference_Titel
Dependable, Autonomic and Secure Computing (DASC), 2014 IEEE 12th International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4799-5078-2
Type
conf
DOI
10.1109/DASC.2014.94
Filename
6945739
Link To Document