利用人工智能丰富和提高无人机射频传感器检测机制的性能

Fahad Alsifiany
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引用次数: 0

摘要

无人机恐怖主义似乎是基本的,减轻其影响的努力似乎没有痛苦。事实上,许多国家的安全机构仍在努力应对这一日益严重的安全问题。无人机的自主性质和无人机袭击的不可预测性仍然是一些无法预见的挑战,这些挑战破坏了打击无人机恐怖主义的缓解努力。提高我们的安全部队和公众对无人机世界的操作实践和安全能力的技能的必要性再怎么强调也不为过。本文探讨了一种未来的解决方案,以应对当前在打击无人机恐怖主义的战争中遇到的挑战。在其设计中,它深入研究了利用人工智能(AI)来表征我们空域中识别的无人机的特征以确定其真实性的可能性。通过相关和专业分支机构积累的经验,它进一步丰富了安全部门的雇员和公众对打击无人机恐怖主义的信息
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of AI to Diversify and Improve the Performance of RF Sensors Drone Detection Mechanism
Drone terrorism may seem elementary and efforts in its mitigation may seem painless. The fact is that security bodies in many countries are still grappling with this growing security concern. The autonomous nature of drones and the unpredictable nature of drone attacks remain to be some of the unforeseen challenges undermining the mitigation efforts in combating drone terrorism. The need to upskill our security forces and the general public on the operational practices and security capabilities in the drone world cannot be overemphasized. This paper explores a futuristic solution to the current challenges encountered in the war against drone terrorism. In its design, it delves into the possibility of utilizing Artificial Intelligence (AI) in characterizing the features of drones identified in our airspace to determine their authenticity. It further enriches the employees of the security services and the general public with information on combating drone terrorism by benefiting from the accumulated experiences of the relevant and specialized affiliates
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