TERÖRLE MÜCADELEDE VERİNİN KULLANIMI

Year 2024, Volume: 13 Issue: 2, 335 - 364, 29.11.2024

İrem Doğan , Muhammed Hayati Taban

https://doi.org/10.28956/gbd.1531048

Abstract

Terör, uzun yıllar boyunca insanlığın karşılaştığı bir güvenlik sorunu olmuştur. Teknoloji çağının gereği yapay zekanın ve veri analizi yöntemlerinin uygulama alanı genişledikçe, bu araçların terörle mücadeledeki etkileri de kendini göstermeye başlamıştır. Bu makalede, Türkiye’de yaşanan terör olaylarının il bazında ilişkilendirilebilecek değişkenler incelenmiştir. Türkiye özelinde il bazında detaylı bir analiz sunarak, yerel dinamiklerin ve değişkenlerin terör olayları üzerindeki etkisini incelenmiştir. Bu çerçevede çalışma, veri odaklı yaklaşımların yerel düzeyde nasıl uygulanabileceğine dair önemli bulgular sunmaktadır. Terörle mücadelede teknolojinin ön plana çıkarılmasını vurgulanmıştır. Veri analizi, makine öğrenimi ve yapay zekâ gibi teknolojilerin kullanımı, terör eylemlerinin önceden tespit edilmesi ve engellenmesi konusunda büyük avantajlar sağlamaktadır. Bu bağlamda makale, Türkiye’nin veri kullanımın ön plana çıktığı teknolojilere yatırım yaparak ve veri odaklı stratejiler geliştirerek terörle mücadelede daha etkin sonuçlar elde edebileceğini göstermektedir. Çalışma ile, terörle mücadelede veri dünyasının sunduğu farklı yöntemler ve stratejilerin etkilerini anlamak için bir çerçeve oluşturulmuştur. Bu amaç doğrultusunda, 81 ile ilişkin elde edilen veriler kullanılarak, sonuçların gelecekteki mücadele stratejilerine katkı sağlaması hedeflenmektedir.

Keywords

Terör, Terörle Mücadele, Veri, İstihbarat, Analiz

Use of Data in the Counte- Terrorism

Abstract

Terrorism has been a security problem faced by humanity for many years. As the application area of artificial intelligence and data analysis methods has expanded as a requirement of the technological age, the effects of these tools in the counter- terrorism have also begun to manifest themselves. In this article, the variables that can be associated with terrorist incidents in Turkey on a province basis are analyzed. By presenting a detailed analysis on a province-by-province basis in Turkey, it examines the impact of local dynamics and variables on terrorist incidents. In this framework, the study provides important findings on how data-driven approaches can be applied at the local level. It is emphasized that technology should be brought to the forefront in the fight against terrorism. The use of technologies such as data analysis, machine learning and artificial intelligence provides great advantages in detecting and preventing terrorist acts in advance. In this context, the article shows that Turkey can achieve more effective results in the counter- terrorism by investing in data-driven technologies and developing data-driven strategies. The study provides a framework for understanding the effects of different methods and strategies offered by the data world in the counter- terrorism. In line with this purpose, the study aims to contribute to future counterterrorism strategies by using the data obtained from 81 provinces.

Keywords

Terrorism, Counterterrorism, Data, Intelligence, Analysis

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