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