Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 6, Issue 1


Published
on

May 25, 2021


Pages


DOI

Article

A prediction model of urban counterterrorism based on stochastic strategy

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Authors

Xiangwei Qi Affiliation:
College of Information Science and Engineering, Xinjiang University, Urumqi 830046, Xinjiang, China
, Haifang Li Affiliation:
College of Computer Science and Technology, Xinjiang Normal University, Urumqi 830054, Xinjiang, China
, Bingcai Chen Affiliation:
College of Computer Science and Technology, Xinjiang Normal University, Urumqi 830054, Xinjiang, China
and Gulila Altenbek Affiliation:
College of Information Science and Engineering, Xinjiang University, Urumqi 830046, Xinjiang, China


Abstract

With ever increasing complexity and intelligence of the modern cities, protecting key public facilities and important targets from any damage is a major challenge for the security sector. In all types of anti-terrorism prediction models, the prediction of attack behaviour is indispensable. Therefore, the attack behaviour model plays an important role in the anti-terrorism security system. This paper builds the attacker’s behaviour model, and carries out the prediction about the possible attack behaviour by the attacker model based on random strategy. According to the attack strategies, analysis and construction of the attack tree and attack graph are carried out based on the state-based stochastic model. The paper describes the security system in detail taking use of the state-based stochastic model method, so as to clarify the state distribution and the transfer relationship between the states of various security resources after threatened by attacks. At the same time, this paper applies the state-based stochastic model to establish the attacker model through the impact of attack on the security system.


Keywords

urban counter-terrorism prediction, stochastic strategy, defensive strategy, attacker model


Citation

Qi, X., Li, H., Chen, B., & Altenbek, G. (2021). A prediction model of urban counterterrorism based on stochastic strategy. Applied Mathematics and Nonlinear Sciences, 6(1). https://doi.org/10.2478/amns.2021.2.00007

Published by: Engineering Journals

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