DocumentCode
2484989
Title
Peer-to-peer based intrusion detection modeling and analysis
Author
Xiaosong, Zhang ; Ting, Chen ; Ma Yue ; Hua, Li
Author_Institution
Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China (UESTC), Chengdu, China
fYear
2009
fDate
14-17 Oct. 2009
Firstpage
213
Lastpage
217
Abstract
This paper proposes a model of intrusion detection based on peer-to-peer (p2p) mechanism. The crux of our research is that quantitatively analyze the response rate of the global intrusion detection system (IDS). The principal approaches are modeling, deduction and numerical simulation. Theoretical proof and experiments demonstrate that our model is reliable and robust. Based on this model, we draw the following conclusions. First, this model is insensitive to network scale so it is adaptable to large-scale network. Second, response rate depends mostly on peer´s degree. Third, our model does not care about how many peers are aware of intrusion in the beginning. In a word, with proper parameters our model can achieve an extremely rapid response rate.
Keywords
peer-to-peer computing; security of data; global intrusion detection system; large-scale network; peer-to-peer based intrusion detection; Computer science; Information analysis; Intrusion detection; Large-scale systems; Numerical models; Numerical simulation; Paper technology; Peer to peer computing; Reliability theory; Robustness; equations; intrusion detection; modeling; p2p; proof;
fLanguage
English
Publisher
ieee
Conference_Titel
Future Information Networks, 2009. ICFIN 2009. First International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-5158-6
Electronic_ISBN
978-1-4244-5159-3
Type
conf
DOI
10.1109/ICFIN.2009.5339561
Filename
5339561
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