Title :
Research on Honeypot Information Fusion Based on Game Theory
Author :
Li-Feng, Wei ; Xiao-Bin, Wang
Author_Institution :
Sch. of Econ. & Manage., Shenyang Inst. of Aeronaut. Eng., Shenyang, China
Abstract :
It is an important factor for the honeypot decoy system to accurately analyze on intrusion information and precisely locate them. As there are some conflict and cooperation relationship among the collected data by honeypot system, it needs to fuse the honey information so that normal decision can be made for intrusions. The paper regarded the fusion process of honeypot information as game process among information, so as to integrate theory game theory and information fusion, then the optimal security decision can be arrived. The research uses a new approach to fuse the multisource information, which plays certain role on early warning of network.
Keywords :
decision making; game theory; information analysis; security of data; decision making; game theory; honeypot decoy system; honeypot information fusion; intrusion information analysis; multisource information fusion; optimal security decision; Computer hacking; Conference management; Data mining; Fuses; Game theory; Information analysis; Information security; Research and development; Research and development management; Space technology; game theory; honeypot; information fusion; network decoy;
Conference_Titel :
Computer Research and Development, 2010 Second International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-0-7695-4043-6
DOI :
10.1109/ICCRD.2010.147