Interoperability and Targeted Attacks on Terrorist Organizations Using Intelligent Tools From Network Science

IF 2.4 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Information (Switzerland) Pub Date : 2023-10-21 DOI:10.3390/info14100580
Alexandros Z. Spyropoulos, Evangelos Ioannidis, Ioannis Antoniou
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引用次数: 2

Abstract

The early intervention of law enforcement authorities to prevent an impending terrorist attack is of utmost importance to ensuring economic, financial, and social stability. From our previously published research, the key individuals who play a vital role in terrorist organizations can be timely revealed. The problem now is to identify which attack strategy (node removal) is the most damaging to terrorist networks, making them fragmented and therefore, unable to operate under real-world conditions. We examine several attack strategies on 4 real terrorist networks. Each node removal strategy is based on: (i) randomness (random node removal), (ii) high strength centrality, (iii) high betweenness centrality, (iv) high clustering coefficient centrality, (v) high recalculated strength centrality, (vi) high recalculated betweenness centrality, (vii) high recalculated clustering coefficient centrality. The damage of each attack strategy is evaluated in terms of Interoperability, which is defined based on the size of the giant component. We also examine a greedy algorithm, which removes the node corresponding to the maximal decrease of Interoperability at each step. Our analysis revealed that removing nodes based on high recalculated betweenness centrality is the most harmful. In this way, the Interoperability of the communication network drops dramatically, even if only two nodes are removed. This valuable insight can help law enforcement authorities in developing more effective intervention strategies for the early prevention of impending terrorist attacks. Results were obtained based on real data on social ties between terrorists (physical face-to-face social interactions).
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使用网络科学智能工具对恐怖组织的互操作性和针对性攻击
为了防止恐怖袭击的发生,执法当局的早期干预对确保经济、金融和社会稳定至关重要。从我们之前发表的研究中,可以及时揭示在恐怖组织中发挥重要作用的关键人物。现在的问题是确定哪种攻击策略(节点移除)对恐怖主义网络最具破坏性,使其支离破碎,因此无法在现实环境中运作。我们研究了4个真实的恐怖网络的几种攻击策略。每个节点移除策略基于:(i)随机性(随机节点移除),(ii)高强度中心性,(iii)高中间性中心性,(iv)高聚类系数中心性,(v)高重新计算强度中心性,(vi)高重新计算中间性中心性,(vii)高重新计算聚类系数中心性。根据互操作性来评估每种攻击策略的损害,互操作性是根据巨型组件的大小来定义的。我们还研究了一种贪婪算法,该算法在每一步移除互操作性下降最大的节点。我们的分析表明,基于高重新计算的中间度中心性去除节点是最有害的。这样,即使只删除两个节点,通信网络的互操作性也会急剧下降。这种宝贵的见解可以帮助执法当局制定更有效的干预战略,以便及早预防即将发生的恐怖袭击。结果是根据恐怖分子之间的社会关系(身体上面对面的社会互动)的真实数据得出的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Information (Switzerland)
Information (Switzerland) Computer Science-Information Systems
CiteScore
6.90
自引率
0.00%
发文量
515
审稿时长
11 weeks
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