DocumentCode :
2599026
Title :
Two-Factor Worm Propagation Model in Cloud Security Network
Author :
Wei, Zhang ; Facheng, Qin ; Ruchuan, Wang
Author_Institution :
Coll. of Comput., Nanjing Univ. of Posts & Telecommun., Nanjing, China
Volume :
2
fYear :
2010
fDate :
24-25 April 2010
Firstpage :
385
Lastpage :
388
Abstract :
Based on the review of recent development of evolutionary computation and the principle of free energy minimization of thermodynamics, a new thermodynamics evolutionary algorithm (TDEA) for solving six-hump camel back function optimization problem is proposed. Numerical experiments are conducted to measure the performance of thermodynamics evolutionary algorithm. The results show that thermodynamics evolutionary algorithm is of potential to obtain global optimum or more accurate solutions than other evolutionary methods.
Keywords :
computer viruses; network servers; security of data; antivirus work transformation; classical SIR model; cloud security network; infectious disease dynamics; network information security; network server group; terminal PC; two factor worm propagation model; Biological system modeling; Cloud computing; Computer networks; Computer security; Computer worms; Diseases; Information security; Telecommunication computing; Telecommunication traffic; Traffic control; Cloud Security; SIR; Worm Propagation Model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networks Security Wireless Communications and Trusted Computing (NSWCTC), 2010 Second International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-4011-5
Electronic_ISBN :
978-1-4244-6598-9
Type :
conf
DOI :
10.1109/NSWCTC.2010.224
Filename :
5480869
Link To Document :
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