Research on Risk Prediction of Modern Terrorist Attack Cooperation Event Based on Time Series
- DOI
- 10.2991/978-94-6463-056-5_91How to use a DOI?
- Keywords
- contemporary terrorism; cooperation; terrorist organization networks; ARIMA model; risk prediction
- ABSTRACT
In-depth study on the cooperative characteristics of modern terrorist attacks and prediction of their development trend is helpful to control risks, strengthen regional security management and improve the effectiveness of counter-terrorism. Based on the data of 192,212 terrorist attacks from 1970 to 2018 provided by the Global Terrorism Database, this paper selects cooperative terrorist attacks, analyzes their distribution regions, proportion changes and other characteristics, and further constructs the cooperative network of terrorist organizations, and finds that the connection relationship continues to become complicated. By constructing a time series model, this paper predicts the trend change of the risk of cooperative terrorist attacks, and obtains the theoretical prediction of two small increases in cooperative terrorist attacks in 10 years. Finally, the risk management of dealing with terrorism cooperation is put forward.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Zhiyu Chen AU - Chaomin Ou AU - Jinke Deng AU - Donghao Cui PY - 2022 DA - 2022/12/29 TI - Research on Risk Prediction of Modern Terrorist Attack Cooperation Event Based on Time Series BT - Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022) PB - Atlantis Press SP - 621 EP - 627 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-056-5_91 DO - 10.2991/978-94-6463-056-5_91 ID - Chen2022 ER -