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Author Hemenway, Brett.

Title Achieving higher-fidelity conjunction analyses using cryptography to improve information sharing / Brett Hemenway, William Welser IV, Dave Baiocchi.

Publication Info. Santa Monica, Calif. : Rand Corporation, 2014.


Location Call No. OPAC Message Status
 Axe JSTOR Open Ebooks  Electronic Book    ---  Available
Description 1 online resource (xix, 45 pages) : illustrations (some color).
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
Series RAND Corporation research report series ; RR-344-AF
Technical report
Research report (Rand Corporation) ; RR-344-AF.
Technical report (Rand Corporation)
Note "Rand Project Air Force."
"Prepared for the United States Air Force."
Bibliography Includes bibliographical references (pages 41-45).
Contents Preface. -- Summary. -- Introduction. -- Overview of ecure multiparty computation. -- Efficiency of implementation. -- Conclusions and recommendations. -- Appendix. -- Bibliography.
Summary 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.
Funding The research described in this report was sponsored by the United States Air Force under Contract FA7014-06-C-0001.
Note Online resource; title from PDF title page (RAND, viewed March 22, 2014).
Language English.
Subject Space debris -- Tracking.
Computer file sharing.
COMPUTERS -- Internet -- Security.
Computer file sharing. (OCoLC)fst01762114
Cryptography. (OCoLC)fst00884552
Space debris -- Tracking. (OCoLC)fst01904749
Mechanical Engineering.
Engineering & Applied Sciences.
Aeronautics Engineering & Astronautics.
Genre/Form Electronic books.
Electronic books.
Added Author Welser, William, IV.
Baiocchi, Dave.
Project Air Force (U.S.)
United States. Air Force.
Other Form: Print version: Hemenway, Brett, 1981- Achieving higher-fidelity conjunction analyses using cryptography to improve information sharing. Santa Monica, CA : Rand Corporation, 2014 0833081667 (DLC) 2014453803 (OCoLC)870990860
ISBN 9780833085214 (electronic bk.)
0833085212 (electronic bk.)
Standard No. AU@ 000060835433
GBVCP 1008661155

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