Defining an Alert Mechanism for Detecting likely threats to National Security

被引：0

作者：

Cardenas, Pedro ^{[1
]}

Obara, Boguslaw ^{[1
]}

Theodoropoulos, Georgios ^{[2
]}

Kureshi, Ibad ^{[3
]}

机构：

[1] Univ Durham, Dept Comp Sci, Durham, England

[2] SUSTech, Dept Comp Sci & Engn, Shenzhen, Peoples R China

[3] Inlecom Syst, Brussels, Belgium

来源：

2018 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | 2018年

关键词：

Cyberactivism; National Security; Human Security; Natural Language Processing; Social Movements and Social Media;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The paper presents an Alert Mechanism for analysing and detecting National Security threats using Social Media posts as the primary source of information. This mechanism is meant to be an early warning system that can identify situations where a critical mass of individuals feel attracted towards a disruptive cause, based on emotions and Human Security aspects, which may lead to societal tipping points. Comprehensive experiments on real-world events related to disruptive and non-disruptive cases demonstrate both the robustness and effectiveness of the proposed mechanism.

引用

页码：1575 / 1580

页数：6

共 13 条

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