FAQ
Logo Agencji Bezpieczeństwa Wewnętrznego (ABW), Polska

Effectiveness of selected AI models in predicting victims of terrorist attacks

Data publikacji: 15.09.2023

Terroryzm – studia, analizy, prewencja, 2023, Numer 4 (4), s. 471 - 502

https://doi.org/10.4467/27204383TER.23.035.18337

Autorzy

Jakub Tuszyński
Uniwersytet Warszawski, ul. Krakowskie Przedmieście 30, 00-927 Warszawa, Polska
https://orcid.org/0009-0009-3421-6399 Orcid
Wszystkie publikacje autora →

Tytuły

Effectiveness of selected AI models in predicting victims of terrorist attacks

Abstrakt

Terrorism continues to be a problem for many countries around the world. The article compares the effectiveness of selected machine learning algorithms in predicting the victims of terrorist attacks in order to answer the question of whether they can serve as one of the anti-terrorist tools. An exploratory data analysis was carried out, and selected trends and characteristics of terrorist attacks were discussed. Some measures for evaluating the classification algorithms used in the study are presented, and potential directions for further research are indicated.

*The article is based on a master’s thesis entitled Effectiveness of selected AI models i predicting victims of terrorist attacks, defended at the Faculty of Journalism, Information and Bibliology, University of Warsaw. The author used excerpts from chapters 3 and 6. The thesis was awarded in the 12th edition of the competition of the Head of the Internal Security Agency for the best doctoral, master’s or bachelor’s thesis concerning state security in the context of intelligence, terrorist, economic threats.

Bibliografia

Géron A., Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, Sebastopol 2019.

Matfess H., Boko Haram: History and Context, in: Oxford Research Encyclopedia of African History, Oxford University Press 2017.

Raschka S. et al., Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python, Birmingham 2022.

 

Internet sources

Basque group Eta says armed campaign is over, BBC News, 20 X 2011, https://www.bbc.com/news/world-europe-15393014 [accessed: 6 VI 2022].

Binnie I., Basque separatist group ETA says it has completely dissolved”, Reuters, 2 V 2018, https://www.reuters.com/article/us-spain-eta-idUSKBN1I31TP [accessed: 6 VI 2022].

Codebook: Inclusion Criteria and Variables, Global Terrorism Database, August 2018, https://www.start.umd.edu/gtd/downloads/Codebook.pdf/ [accessed: 30 V 2022].

Communist Part of the Philippines – New People’s Army, Stanford University, https://cisac.fsi.stanford.edu/mappingmilitants/profiles/communist-party-philippines-new-peoples-army [accessed: 11 VI 2022].

Data Collection Methodology, Global Terrorism Database, http://www.start-dev.umd.edu/gtd/using-gtd/ [accessed: 21 V 2022].

Deaths in Maoist attacks down by 21%: Shah at CMs’ meeting, The Times of India, 27 IX 2021, https://timesofindia.indiatimes.com/india/deaths-in-naxal-attacks-down-by-21-shah-at-cms-meeting/articleshow/86543018.cms [accessed: 8 VI 2022].

History of the GTD, Global Terrorism Database, https://start.umd.edu/gtd/about/History.aspx [accessed: 11 V 2022].

Left Wing Extremism Division, Ministry of Home Affairs, https://web.archive.org/web/20220707070953/https://www.mha.gov.in/division_of_mha/left-wing-ex-tremism-division [accessed: 8 VI 2022].

Pentagon confirms death of Somalia terror leader, The Washington Times, 5 IX 2014, https://www.washingtontimes.com/news/2014/sep/5/pentagon-confirms-death-of-somalia-terror-leader/ [accessed: 10 VI 2022].

Revolutionary Armed Forces of Colombia (FARC), Stanford University, https://cis-ac.fsi.stanford.edu/mappingmilitants/profiles/revolutionary-armed-forces-colombia-farc [accessed: 8 VI 2022].

Saffón S., Peru in Familiar Stalemate With Shining Path Rebels, InSight Crime, 4 IX 2020, https://insightcrime.org/news/brief/peru-stalemate-shining-path/ [accessed: 8 VI 2022].

Sethi A., Green Hunt: the anatomy of an operation, The Hindu, 6 II 2010, https://www.thehindu.com/opinion/op-ed/Green-Hunt-the-anatomy-of-an-operation/article16812797.ece [accessed: 8 VI 2022].

The Afghan Taliban, Stanford University, https://cisac.fsi.stanford.edu/map-pingmilitants/profiles/afghan-taliban [accessed: 8 VI 2022].

The Islamic State, Stanford University, https://cisac.fsi.stanford.edu/mapping-militants/profiles/islamic-state [accessed: 11 VI 2022].

Informacje

Informacje: Terroryzm – studia, analizy, prewencja, 2023, Numer 4 (4), s. 471 - 502

Typ artykułu: Oryginalny artykuł naukowy

Tytuły:

Polski:

Effectiveness of selected AI models in predicting victims of terrorist attacks

Angielski:
Effectiveness of selected AI models in predicting victims of terrorist attacks

Autorzy

https://orcid.org/0009-0009-3421-6399

Jakub Tuszyński
Uniwersytet Warszawski, ul. Krakowskie Przedmieście 30, 00-927 Warszawa, Polska
https://orcid.org/0009-0009-3421-6399 Orcid
Wszystkie publikacje autora →

Uniwersytet Warszawski, ul. Krakowskie Przedmieście 30, 00-927 Warszawa, Polska

Publikacja: 15.09.2023

Status artykułu: Otwarte __T_UNLOCK

Licencja: CC-BY-NC-SA  ikona licencji

Udział procentowy autorów:

Jakub Tuszyński (Autor) - 100%

Korekty artykułu:

-

Języki publikacji:

Angielski