DocumentCode :
3191616
Title :
The Rapid Worm Detecting Technology in Large-Scale Network
Author :
Yongjian, Wang ; Bin, Feng ; Shupeng, Wang
Author_Institution :
Coordination Center, Nat. Comput. Network Emergency Response Tech. Team, Beijing, China
fYear :
2011
fDate :
19-22 Oct. 2011
Firstpage :
756
Lastpage :
761
Abstract :
This paper puts forward a framework of methods for finding the unknown worms based on the platform of data flow management. The platform of data flow management provides support for the analysis and management of network data flow. This model framework is flexible and convenient to integrate various technology of finding unknown worms so that it can increase the accuracy and reduce the rate of false alarm and the rate of missing report for finding the unknown worms.
Keywords :
data handling; invasive software; large-scale network; network data flow analysis; network data flow management; unknown worms; worm detecting technology; Computational modeling; Computer networks; Computers; Grippers; Mathematical model; Monitoring; Software; Analysis of characteristics; network security; worms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Internet of Things (iThings/CPSCom), 2011 International Conference on and 4th International Conference on Cyber, Physical and Social Computing
Conference_Location :
Dalian
Print_ISBN :
978-1-4577-1976-9
Type :
conf
DOI :
10.1109/iThings/CPSCom.2011.49
Filename :
6142159
Link To Document :
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