Adaptive Human Behavior in a Two-Worm Interaction Model | Zendy

Lipeng Song | Zendy; Xie Han | Zendy; Dongming Liu | Zendy; Zhen Jin | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Adaptive Human Behavior in a Two-Worm Interaction Model

Author(s) -

Lipeng Song,

Xie Han,

Dongming Liu,

Zhen Jin

Publication year - 2012

Publication title -

discrete dynamics in nature and society

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.264

H-Index - 39

eISSN - 1607-887X

pISSN - 1026-0226

DOI - 10.1155/2012/828246

Subject(s) - computer science , stability (learning theory) , human interaction , adaptive behavior , human–computer interaction , machine learning , psychology , psychiatry

The complex interactions among internet worms have great impact on the dynamics of worms. To contain the propagation of worms, it is necessary to characterize these interactions. Therefore, a two-worm interaction model is presented in this paper. Different from previous researches, we have considered the influence of adaptive human reaction stirred by one cooperative worm on the other worm in the model. The model’s equilibria and their stability conditions are obtained mathematically and verified by simulations. Results indicate that considering adaptive human behavior significantly changes the prospective propagation course of worms and that this consideration has implications for designing counterworm methods

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research