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Achieving higher-fidelity conjunction analyses using cryptography to improve information sharing / Brett Hemenway, William Welser IV, Dave Baiocchi.
Author
Hemenway, Brett, 1981-
[Browse]
Format
Book
Language
English
Published/Created
Santa Monica, CA : Rand Corporation, ©2014.
Description
xix, 45 pages : illustrations (some color) ; 28 cm.
Availability
Available Online
RAND Reports
RAND Publications
DOAB Directory of Open Access Books
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Copies in the Library
Location
Call Number
Status
Location Service
Notes
Engineering Library - Stacks
TL1499 .H46 2014
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Details
Subject(s)
Space debris
—
Tracking
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Cryptography
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Computer file sharing
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Related name
Project Air Force (U.S.)
[Browse]
United States. Air Force
[Browse]
Welser, William, IV
[Browse]
Baiocchi, Dave
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Series
Technical report (Rand Corporation) ; RR-344-AF.
[More in this series]
Technical report ; RR-344-AF
Summary note
Space debris{u2014}the man-made orbital junk that represents a collision risk to operational satellites{u2014}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{u2019}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{u2019}s orbital information.
Notes
"Rand Project Air Force."
"Prepared for the United States Air Force."
Bibliographic references
Includes bibliographical references (p. 41-45)
Contents
Introduction
Overview of Secure Multiparty Computation
Efficiency of Implementation
Conclusions and Recommendations.
Show 1 more Contents items
ISBN
0833081667 ((paperback))
9780833081667 ((paperback))
LCCN
2014453803
OCLC
870990860
Statement on language in description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.
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Achieving higher-fidelity conjunction analyses using cryptography to improve information sharing
id
99125140619506421
Achieving higher-fidelity conjunction analyses using cryptography to improve information sharing / Brett Hemenway, William Welser IV, Dave Baiocchi.
id
SCSB-9937061