机载众感网络:安全可靠的基于飞机的观测

Brandon C. Burfeind, R. Mills, Paul M. Beach
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引用次数: 2

摘要

基于飞机的观测(AbO)的潜在效用正在迅速增长。随着机载系统在技术和数量上的进步,一种模式的转变正在发生,即系统的安全性与其安全性直接相关。我们转向众包世界,以机载众传感网络(ACN)的形式将新兴的安全和隐私讨论与AbO联系起来。为了分析ACN安全的现状和未来,将当前的航空电子安全标准与众包研究人员的新产品相结合,以确保未来空中大数据的安全、可靠和成功是有益的。在将AbO的未来与ACN联系起来之后,本文对数据链的每个部分进行了逐步的安全分析,重点关注ACN的众感根源造成的漏洞和实现的解决方案。我们还介绍了大数据时代对航空电子系统的挑战。在航空领域追求安全和保障需要从人群感知领域的类似研究中吸取教训。在对当前贡献进行分析之后,必须继续观察和参与涉及众感技术的未来工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Airborne Crowdsensing Networks: Safe and Secure Aircraft-Based Observations
The potential utility for aircraft-based observations (AbO) is growing rapidly. As airborne systems advance in technology and quantity, a paradigm shift is occurring in which the safety of a system is directly tied to its security. We turn to the world of crowdsourcing to tie emerging security and privacy discussions to AbO in the form of an Airborne Crowdsensing Network (ACN). To analyze the status and future of ACN security, it is useful to interweave current avionics security standards with new offerings from crowdsourcing researchers to ensure the future of big data in the sky is safe, secure, and successful. After correlating the future of AbO to the ACN, this paper does a step-by-step security analysis of each portion of the data chain, focusing on vulnerabilities caused by, and solutions enabled by, the crowdsensing roots of ACNs. We also introduce the challenges of the big data age to avionics systems. The pursuit of safety and security in aviation demand that lessons be learned from similar research in the world of crowd-sensing. This analysis of current contributions must be followed by continued observation of, and participation in, future work involving crowdsensing technology.
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