Novel intelligent NIPS model based on Multiple Mobile Agents and data mining

Author

Tiejun, Jia ; Haijun, Wang

Author_Institution

Coll. of Electron. & Inf., Shanghai Dianji Univ., Shanghai, China

Volume

5

fYear

2010

fDate

25-27 June 2010

Abstract

This paper presents a Novel intelligent Intrusion Prevention System (NIPS) model based on mobile agent and data mining. By analyzing the features of intrusion prevention system, mobile agent and data mining, the proposed model has the advantages of real-time acquisition and abnormal information recognition of data mining, the model can solve the internet security false negative and false positive problems effectively, so it can enhance the inspection and recognition decision-making and the whole intelligent defense ability of the NIPS.

Keywords

data mining; decision making; knowledge acquisition; mobile computing; security of data; data mining; decision-making; information recognition; intelligent NIPS model; intelligent intrusion prevention system; multiple mobile agent; real-time acquisition; Data mining; Data security; Information analysis; Information security; Inspection; Intelligent agent; Intelligent systems; Internet; Mobile agents; Real time systems; Data Mining (DA); Intrusion Prevention System (IPS); Mobile Agent (MA); Novel intelligent model;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Design and Applications (ICCDA), 2010 International Conference on

Conference_Location

Qinhuangdao

Print_ISBN

978-1-4244-7164-5

Electronic_ISBN

978-1-4244-7164-5

Type

conf

DOI

10.1109/ICCDA.2010.5540843

Filename

5540843