Modeling and Bifurcation Research of a Worm Propagation Dynamical System with Time Delay
Author(s) -
Yu Yao,
Zhao Zhang,
Wenlong Xiang,
Wei Hong Yang,
Fuxiang Gao
Publication year - 2014
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2014/408183
Subject(s) - algorithm , computer science , bifurcation , stability (learning theory) , correctness , machine learning , physics , quantum mechanics , nonlinear system
Both vaccination and quarantine strategy are adopted to control the Internet worm propagation. By considering the interaction infection between computers and external removable devices, a worm propagation dynamical system with time delay under quarantine strategy is constructed based on anomaly intrusion detection system (IDS). By regarding the time delay caused by time window of anomaly IDS as the bifurcation parameter, local asymptotic stability at the positive equilibrium and local Hopf bifurcation are discussed. Through theoretical analysis, a threshold is derived. When time delay is less than , the worm propagation is stable and easy to predict; otherwise, Hopf bifurcation occurs so that the system is out of control and the containment strategy does not work effectively. Numerical analysis and discrete-time simulation experiments are given to illustrate the correctness of theoretical analysis.
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