Use of AI to Diversify and Improve the Performance of RF Sensors Drone Detection Mechanism

Fahad Alsifiany
{"title":"Use of AI to Diversify and Improve the Performance of RF Sensors Drone Detection Mechanism","authors":"Fahad Alsifiany","doi":"10.5121/csit.2023.130504","DOIUrl":null,"url":null,"abstract":"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","PeriodicalId":261978,"journal":{"name":"Computer Science, Engineering and Applications","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Science, Engineering and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5121/csit.2023.130504","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

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
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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
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。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
An Natural Language Processed Web Application that Interpret and Convert English to Python Code A Perceptive Program to Assist Remote Learning for Students with Learning Disabilities using Screen and Bluetooth Output Tracking Emotional Music Generation: An Analysis of Effectiveness and user Satisfaction by using Python and Dart Fun Writer: A Context-Based Intelligent Writing Platform to Assist and Motivate Writing Activities using Artificial Intelligence and Natural Language Processing Use of AI to Diversify and Improve the Performance of RF Sensors Drone Detection Mechanism
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1