印度及其邻国高影响恐怖袭击的建模与分析

P. Singh, Deepu Philip
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引用次数: 1

摘要

任何国家的内部或外部行为者实施的恐怖主义都危害该国的安全、经济增长、社会和平与和谐。因此,对恐怖主义进行准确建模已成为大多数国家国家安全使命的必要组成部分。本研究利用全球恐怖主义数据库(GTD)提取并分析了自1970年以来恐怖分子在印度及其邻国实施的高影响袭击(HIAs)。我们使用迭代离群值分析(IOA)启发式方法评估了全球恐怖主义指数影响评分(GTI-IS)对GTD度量“nkill”的提取效果。启发式识别了使用nkill或GTI-IS属性的6117个常见hia。GTI-IS提取了nkill遗漏的1718个不含HIAs,而nkill提取了2233个不含HIAs。我们进一步将提取的HIAs分为致命攻击和非致命攻击。接下来,我们对报告hia最多的国家进行了严格的时空探索性分析。尽管阿富汗、印度和斯里兰卡表现出全球空间自相关,但巴基斯坦没有。里普利的G函数表明,在其他类似事件附近会发生致命袭击。这一分析表明,这些国家的致命和非致命袭击遵循不同的统计分布,这有助于制定有针对性的反恐策略。
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Modelling & Analysis of High Impact Terrorist Attacks in India & Its Neighbors
Terrorism perpetrated in any country by either internal or external actors jeopardizes the country’s security, economic growth, societal peace, and harmony. Hence, accurate modelling of terrorism has become a necessary component of the national security mission of most nations. This research extracted and analyzed high impact attacks (HIAs) perpetrated by terrorists in India and its neighboring countries since 1970 using the Global Terrorism Database (GTD). We evaluated the extraction efficacy of the Global Terrorism Index Impact Score (GTI-IS) against the GTD measure “nkill” using the iterative outlier analysis (IOA) heuristic. The heuristic identified 6117 common HIAs using nkill or GTI-IS attributes. GTI-IS extracted 1718 exclusive HIAs that nkill missed, while nkill extracted 2233 exclusive HIAs. We further classified the extracted HIAs into lethal and non-lethal attacks. Next, we conducted a rigorous spatiotemporal exploratory analysis of countries that reported the most HIAs. Though Afghanistan, India, and Sri Lanka exhibited global spatial autocorrelation, Pakistan did not. Ripley’s G function suggested the recurrence of lethal attacks near other similar events. This analysis showed that lethal and non-lethal attacks in those countries follow different statistical distributions, which can aid in focused counterterrorism tactics.
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