DocumentCode :
1804036
Title :
Dynamic defense strategy against advanced persistent threat with insiders
Author :
Pengfei Hu ; Hongxing Li ; Hao Fu ; Cansever, Derya ; Mohapatra, Prasant
Author_Institution :
Dept. of Comput. Sci., Univ. of California, Davis, Davis, CA, USA
fYear :
2015
fDate :
April 26 2015-May 1 2015
Firstpage :
747
Lastpage :
755
Abstract :
The landscape of cyber security has been reformed dramatically by the recently emerging Advanced Persistent Threat (APT). It is uniquely featured by the stealthy, continuous, sophisticated and well-funded attack process for long-term malicious gain, which render the current defense mechanisms inapplicable. A novel design of defense strategy, continuously combating APT in a long time-span with imperfect/incomplete information on attacker´s actions, is urgently needed. The challenge is even more escalated when APT is coupled with the insider threat (a major threat in cyber-security), where insiders could trade valuable information to APT attacker for monetary gains. The interplay among the defender, APT attacker and insiders should be judiciously studied to shed insights on a more secure defense system. In this paper, we consider the joint threats from APT attacker and the insiders, and characterize the fore-mentioned interplay as a two-layer game model, i.e., a defense/attack game between defender and APT attacker and an information-trading game among insiders. Through rigorous analysis, we identify the best response strategies for each player and prove the existence of Nash Equilibrium for both games. Extensive numerical study further verifies our analytic results and examines the impact of different system configurations on the achievable security level.
Keywords :
game theory; security of data; APT; Nash equilibrium; advanced persistent threat; attack process; cyber security; defense/attack game; dynamic defense strategy; information-trading game; malicious gain; two-layer game model; Computer security; Computers; Cost function; Games; Joints; Nash equilibrium;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Communications (INFOCOM), 2015 IEEE Conference on
Conference_Location :
Kowloon
Type :
conf
DOI :
10.1109/INFOCOM.2015.7218444
Filename :
7218444
Link To Document :
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