DocumentCode :
1929543
Title :
Stochastic Game Theoretic Method of Quantification for Network Situational Awareness
Author :
Wang, Huiqiang ; Liang, Ying ; Liu, Xiaowu
Author_Institution :
Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin
fYear :
2008
fDate :
28-29 Jan. 2008
Firstpage :
312
Lastpage :
316
Abstract :
Stochastic game theory is proposed to apply to the research on network situational awareness (NSA),and then a novel quantification method of NSA based on analysis of network service states is proposed. In this paper, network offense-defense game model including both the attacker and the defender in it is constructed; and game mathematical modeling of network situation is realized; the payoff of the both sides in the game is quantified according to the specific application, and the game situations is obtained by analyzing network service state. Finally, simulation experiments are done to validate the Nash equilibrium´s existing, at which point both of the sides get a balance between their payoffs and by which the current stable network security state is reflected, finally the quantification of NSA is achieved.
Keywords :
game theory; telecommunication security; telecommunication services; Nash equilibrium; game mathematical modeling; network offense-defense game model; network service; network situational awareness; quantification method; stochastic game theoretic method; Computer science; Educational institutions; Game theory; IP networks; Information security; Intrusion detection; Mathematical model; Stochastic processes; Visualization; Web and internet services; Nash equillibrium; network security; network service; situational awareness; stochastic game;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Internet Computing in Science and Engineering, 2008. ICICSE '08. International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-0-7695-3112-0
Electronic_ISBN :
978-0-7695-3112-0
Type :
conf
DOI :
10.1109/ICICSE.2008.55
Filename :
4548280
Link To Document :
بازگشت