<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

A prediction model of urban counterterrorism based on stochastic strategy

College of Information Science and Engineering

College of Computer Science and Technology

Xinjiang Laboratory of Multi-language Information Technology

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"A prediction model of urban counterterrorism based on stochastic strategy"}

With ever increasing complexity and intelligence of the modern cities, protecting key public facilities and important targets from any damage is a major...

A prediction model of urban counterterrorism based on stochastic strategy

Online veröffentlicht: 25. Mai 2021

Seitenbereich: 263 - 268

Eingereicht: 27. Nov. 2020

Akzeptiert: 26. Feb. 2021

DOI: https://doi.org/10.2478/amns.2021.2.00007

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

© 2021 Xiangwei Qi et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

A prediction model of urban counterterrorism based on stochastic strategy

Online veröffentlicht: 25. Mai 2021

Seitenbereich: 263 - 268

Eingereicht: 27. Nov. 2020

Akzeptiert: 26. Feb. 2021

DOI: https://doi.org/10.2478/amns.2021.2.00007

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

© 2021 Xiangwei Qi et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

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