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Research and Exploration of an Intelligent Counterterrorism Command and Control Platform

  • Lute Jin,
  • Guo Cheng,
  • Hangfei Zhang,
  • Xiaofeng Diao

摘要

With the increasing maturity of artificial intelligence technology, intelligent systems for processing related business operations have emerged among various industries. Since traditional human-based anti-terrorism solutions have become insufficient to meet the new requirements of maintaining stability in the modern era, it has become a new solution that developing an Intelligent Conterterrorism Command and Control Platform (IC3P). In this paper, we focus on four aspects: current situation analysis, architecture design, critical technologies, and application pathways. To address challenges such as the difficulties in intelligence gathering, information sharing, and risk management, IC3P adopts a layered architecture consisting of the infrastructure layer, data layer, analysis layer, application layer, interaction layer, and security layer. Each layer incorporates intelligent algorithms, models, or computational techniques, and through inter-layer collaboration, the platform achieves intelligent monitoring and high-precision intelligence data processing, AI-driven deep intelligence analysis and forward-looking decision support, as well as integrated intelligent collaborative combat command and real-time adjustment. At the application level, IC3P leverages its intelligent capabilities across multiple areas including early warning, analysis, decision-making, and countermeasures, effectively improving the efficiency and accuracy of anti-terrorism efforts while better maintaining social stability and public safety. This paper aims to provide some valuable insights to counterterrorism revolution in the future.