Safeguarding National Security Interests Utilizing Location-Aware Camera Devices

Sreejith Gopinath, Aspen Olmsted
{"title":"Safeguarding National Security Interests Utilizing Location-Aware Camera Devices","authors":"Sreejith Gopinath, Aspen Olmsted","doi":"10.48550/arXiv.2205.03330","DOIUrl":null,"url":null,"abstract":"The rapid advancement of technology has resulted in advanced camera capabilities coming to smaller form factors with improved energy efficiency. These improvements have led to more efficient and capable cameras on mobile devices like mobile phones, tablets, and even eyeglasses. Using these unobtrusive cameras, users can capture photographs and videos of almost any location where they have physical access. Unfortunately, the proliferation of highly compact cameras has threatened the privacy rights of individuals and even entire nations and governments. For example, governments may not want photographs or videos of sensitive installations or locations like airside operations of military bases or the inner areas of nuclear power plants to be captured for unapproved uses. In addition, solutions that obfuscate images in post-processing are subject to threats that could siphon unprocessed data. Our work proposes a Global Positioning System-based approach to restrict the ability of smart cameras to capture and store images of sensitive areas.","PeriodicalId":93362,"journal":{"name":"Proceedings of the Future Technologies Conference (FTC) 2020. Future Technologies Conference (2020 : Online)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Future Technologies Conference (FTC) 2020. Future Technologies Conference (2020 : Online)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.48550/arXiv.2205.03330","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

The rapid advancement of technology has resulted in advanced camera capabilities coming to smaller form factors with improved energy efficiency. These improvements have led to more efficient and capable cameras on mobile devices like mobile phones, tablets, and even eyeglasses. Using these unobtrusive cameras, users can capture photographs and videos of almost any location where they have physical access. Unfortunately, the proliferation of highly compact cameras has threatened the privacy rights of individuals and even entire nations and governments. For example, governments may not want photographs or videos of sensitive installations or locations like airside operations of military bases or the inner areas of nuclear power plants to be captured for unapproved uses. In addition, solutions that obfuscate images in post-processing are subject to threats that could siphon unprocessed data. Our work proposes a Global Positioning System-based approach to restrict the ability of smart cameras to capture and store images of sensitive areas.
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
利用位置感知摄像头维护国家安全利益
技术的快速发展使先进的相机功能变得更小,同时提高了能源效率。这些改进为手机、平板电脑甚至眼镜等移动设备带来了更高效、更强大的摄像头。使用这些不显眼的相机,用户可以在他们可以实际访问的几乎任何地方拍摄照片和视频。不幸的是,高度紧凑的相机的扩散已经威胁到个人甚至整个国家和政府的隐私权。例如,政府可能不希望拍摄敏感设施或地点的照片或视频,如军事基地的空侧操作或核电站的内部区域,用于未经批准的用途。此外,在后处理过程中混淆图像的解决方案容易受到可能会虹吸未处理数据的威胁。我们的工作提出了一种基于全球定位系统的方法来限制智能相机捕捉和存储敏感区域图像的能力。
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
SimLDA: A tool for topic model evaluation Parameterized-NL Completeness of Combinatorial Problems by Short Logarithmic-Space Reductions and Immediate Consequences of the Linear Space Hypothesis Safeguarding National Security Interests Utilizing Location-Aware Camera Devices A qualitative investigation of optical flow algorithms for video denoising A Two-Stage Federated Transfer Learning Framework in Medical Images Classification on Limited Data: A COVID-19 Case Study
×
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