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A Primer On Public Safety Communication in the Context of Terror Attacks: The NATO SPS 'COUNTER-TERROR' Project

机译:恐怖袭击背景下的公共安全通信的底漆:北约SPS“反恐”项目

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Terrorism is emerging as one of the most serious threats worldwide. Terrorist attacks are becoming more coordinated, sophisticated and hence more devastating. One of the important reasons for higher casualities is the "sluggish response time". In some of the recent attacks, police and law enforcement agencies even after many hours were unable to have some of the basic information such as how many people are inside the attacked premises, the number of seriously injured persons, the number of terrorists, what their location is and so on. So, one of the most important questions is "How to provide the fundamental information to public safety agencies as quickly as possible to reduce the response time following terrorist attacks"? The NATO - Science for Peace (SPS) "COUNTER-TERROR" G5482 project (2019-2021) presented in this paper investigates and proposed innovative ideas and solutionsto address this question from an information and communication technology viewpoint, including the establishment of secure D2D communication networks to quickly gather information and the use of UAVs to discover and localize weak signals. It is envisioned that "connecting" the on-scene available (OS-A) heterogeneous devices (through multi-hop device-to-device (D2D) communication) to the nearest mobile deployed command center in an efficient way cannot only rapidly disseminate fundamental information but also aid in significantly reducing the response times and, consequently, many lives and infrastructure. The objectives of this project are to design and evaluate efficient heterogeneous resource management by adaptive power control, throughput enhancement and interference management for device-to-device (D2D) communication. The originality is to exploit machine learning (ML) techniques to improve the existing state of the art. Further, the use of unmanned aerial vehicle (UAV) for weak signal detection and devices accurate position evaluation is an important objective. The deployed setup wit
机译:恐怖主义是全世界最严重的威胁之一。恐怖袭击变得更加协调,精致,因此更具壮国。更高伤亡人士的重要原因之一是“迟钝的响应时间”。在最近的一些攻击,警察和执法机构即使在很多小时后无法拥有一些基本信息,如有多少人在攻击的场所里面,严重受伤的人数,恐怖分子的数量,他们的位置是等等的。那么,最重要的问题之一是“如何尽快向公共安全机构提供基本信息,以减少恐怖主义攻击后的响应时间”?北约 - 北约科学(SPS)“反恐”G5482项目(2019-2021)在本文中提出,并提出了创新的思想和解决方案,包括信息和通信技术观点,包括建立安全的D2D通信。网络快速收集信息和使用无人机来发现和本地化弱信号。设想以有效的方式“通过多跳设备到设备(D2D)异构设备(通过多跳设备到设备(D2D)通信)(通过多跳设备到设备(D2D)通信)以有效的方式迅速传播基础信息,但也有助于显着减少响应时间,因此许多生命和基础设施。该项目的目标是通过自适应功率控制,吞吐量增强和干扰管理来设计和评估有效的异构资源管理,用于设备到设备(D2D)通信。原创性是利用机器学习(ML)技术来改善现有的现有技术。此外,使用无人驾驶飞行器(UAV)用于弱信号检测和设备准确的位置评估是一个重要的目标。部署的设置机智

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