DocumentCode
2294725
Title
Optimal Integration Model of Multiple Information Security Methods
Author
Zeng, Bin ; Guo, Fuliang ; Yao, Lu
Author_Institution
Dept. of Manage., Naval Univ. of Eng., Wuhan, China
fYear
2009
fDate
4-6 June 2009
Firstpage
516
Lastpage
521
Abstract
With the ever growing number of hosts connected to the Internet, network and information security has become more and more important. Due to the increasing sophistication of attacking techniques and automated attacking tools, it is necessary for large scale information to combine multiple and heterogeneous security mechanisms´ collaboration to discover and defend various distributed and coordinated attacks. In order to allow for a coordinated integration of existing information security technologies, a fusing multi-defense technology optimization model is proposed, which takes into account not only the security aspect but also its impact on the performance, usability, and cost. The relative preference among the objectives can be adjusted by varying the weights associated with each parameter of mathematic model. The model is illustrated and confirmed by applying it to a typical example problem in the information sharing field. This method can improve the scalability, accuracy and capability by adopting multi defense technology.
Keywords
Internet; optimisation; security of data; Internet; attacking technique; heterogeneous security mechanism; information sharing field; large scale information; multidefense technology optimization model; multiple information security method; optimal integration model; scalability improvement; Conference management; Cost function; Decision making; Information security; Information systems; Intrusion detection; Mathematical model; Optimization methods; Protection; Usability; information security; integration model; optimal security set; performance measure;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia and Ubiquitous Engineering, 2009. MUE '09. Third International Conference on
Conference_Location
Qingdao
Print_ISBN
978-0-7695-3658-3
Type
conf
DOI
10.1109/MUE.2009.91
Filename
5318965
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