Title :
Modeling malware propagation in complex networks based on cellular automata
Author :
Song, Yurong ; Jiang, Guo-Ping ; Gu, Yiran
Author_Institution :
Center for Control & Intell. Technol., Nanjing Univ. of Posts & Telecommun., Nanjing
fDate :
Nov. 30 2008-Dec. 3 2008
Abstract :
In this paper, based on cellular automata, two models of malware propagation are proposed to evaluate the probabilistic behavior of malware propagation in complex networks. The proposed models can be applied to all kinds of topological networks, such as exponential networks and power law networks and can describe effectively the spatial-temporal process of malware propagation. Through the analysis and simulations, we obtain some useful results, which can better understand malware propagation and develop effective countermeasures in complex networks.
Keywords :
cellular automata; complex networks; invasive software; probability; cellular automata; complex networks; exponential networks; malware propagation; power law networks; probabilistic behavior; topological networks; Automatic control; Biological system modeling; Complex networks; Computer viruses; Computer worms; Intelligent control; Intelligent networks; Mathematical model; Stochastic processes; Telecommunication control;
Conference_Titel :
Circuits and Systems, 2008. APCCAS 2008. IEEE Asia Pacific Conference on
Conference_Location :
Macao
Print_ISBN :
978-1-4244-2341-5
Electronic_ISBN :
978-1-4244-2342-2
DOI :
10.1109/APCCAS.2008.4746009