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来源类型 | Report |
规范类型 | 报告 |
来源ID | RR-344-AF |
Achieving Higher-Fidelity Conjunction Analyses Using Cryptography to Improve Information Sharing | |
Brett Hemenway; William Welser IV; Dave Baiocchi | |
发表日期 | 2014-02-12 |
出版年 | 2014 |
语种 | 英语 |
结论 | Several Secure Multiparty Computation (MPC) Protocols Have Been Developed.
Current MPC Technology Is Sufficiently Advanced to Perform Secure Conjunction Analysis Calculations Quickly Enough to Be of Use to the Space Situational Awareness Community. |
摘要 | Space debris — the man-made orbital junk that represents a collision risk to operational satellites — is a growing threat that will increasingly affect future space-related mission designs and operations. Since 2007, the number of orbiting debris objects has increased by over 40 percent as a result of the 2007 Chinese antisatellite weapon test and the Iridium/Cosmos collision in 2009. With this sudden increase in debris, there is a renewed interest in reducing future debris populations using political and technical means. ,The 2010 U.S. Space Policy makes several policy recommendations for addressing the space congestion problem. One of the policy's key suggestions instructs U.S. government agencies to promote the sharing of satellite positional data, as this can be used to predict (and avoid) potential collisions. This type of information is referred to as space situational awareness (SSA) data, and, traditionally, it has been treated as proprietary or sensitive by the organizations that keep track of it because it could be used to reveal potential satellite vulnerabilities. ,This document examines the feasibility of using modern cryptographic tools to improve SSA. Specifically, this document examines the applicability and feasibility of using cryptographically secure multiparty computation (MPC) protocols to securely compute the collision probability between two satellites. These calculations are known as conjunction analyses. MPC protocols currently exist in the cryptographic literature and would provide satellite operators with a means of computing conjunction analyses while maintaining the privacy of each operator's orbital information. |
目录 |
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主题 | Critical Infrastructure Protection ; Cybersecurity ; Satellites |
URL | https://www.rand.org/pubs/research_reports/RR344.html |
来源智库 | RAND Corporation (United States) |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/522416 |
推荐引用方式 GB/T 7714 | Brett Hemenway,William Welser IV,Dave Baiocchi. Achieving Higher-Fidelity Conjunction Analyses Using Cryptography to Improve Information Sharing. 2014. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
RAND_RR344.pdf(1750KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
1392212697867.gif(4KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | ![]() 浏览 |
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