DocumentCode :
2858841
Title :
Neural Network-based Multi-Sensor Fusion for Security Management
Author :
Xiao, Debao ; Zhou, Ying ; Wei, Meijuan
Author_Institution :
Sch. of Inf. Eng., Wuhan Univ. of Technol.
fYear :
2006
fDate :
24-26 May 2006
Firstpage :
1
Lastpage :
5
Abstract :
With the development of attacking technologies, the representations of security events become more and more complex, and the system security situation can´t be detected or judged by some single security. In this paper, we put the theory and practical of neural network-based multi-sensor information fusion technology into security management for further study and put emphasis up on network security events fusion to optimize and improve the source events management and policy coordination in security management. We present a security management framework using neural network-based information fusion technology, and give an experimental environment to prove that the framework can provide believable security events and the output estimation for security management platform; it can serve as a reference for the response of network security events, so as to improve the response speed effectively
Keywords :
neural nets; security of data; sensor fusion; neural network-based multisensor information fusion; policy coordination; source events management; system security management; Computer network management; Computer security; Data security; Environmental management; Event detection; Information management; Information security; Military computing; Neural networks; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications, 2006 1ST IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
0-7803-9513-1
Electronic_ISBN :
0-7803-9514-X
Type :
conf
DOI :
10.1109/ICIEA.2006.257103
Filename :
4025721
Link To Document :
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