AVERAGE TRAPPING TIME OF HONEYPOTS ON WEIGHTED RANDOM FRACTAL NETWORKS

Yuke Huang (), Cheng Zeng, Hanxiong Zhang () and Yumei Xue ()
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Yuke Huang: School of Science, Beijing University of Posts and Telecommunications, Beijing 100876, P. R. China
Cheng Zeng: School of Mathematics and Information Science, Shandong Technology and Business University, Yantai, Shandong Province 264003, P. R. China
Hanxiong Zhang: School of Science, China University of Mining and Technology – Beijing, Beijing 100083, P. R. China
Yumei Xue: School of Mathematics and System Science, Beihang University, Beijing 100191, P. R. China

FRACTALS (fractals), 2022, vol. 30, issue 07, 1-9

Abstract: This paper studies the average trapping time of honeypots on weighted random fractal networks. We introduce three parameters: the node-weight factor w, the edge-weight factor r and the connecting probability p, making our model closer to real networks. We analyze the movements of the attacker on the network, and get the explicit and asymptotic expressions of the average trapping time for different ranges of parameters.

Keywords: Fractal Network; Hierarchical Network; Average Trapping Time; Cyberspace Security; Honeypot (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1142/S0218348X22501407

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