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New techniques for ensuring the long term integrity of digital archives
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dg.o; Vol. 228 archive
Proceedings of the 8th annual international conference on Digital government research: bridging disciplines & domains table of contents
Philadelphia, Pennsylvania
SESSION: Control and integrity table of contents
Pages: 57 - 65  
Year of Publication: 2007
ISBN:1-59593-599-1
Authors
Sangchul Song  University of Maryland, College Park, MD
Joseph JaJa  University of Maryland, College Park, MD
Sponsors
: Center for Technology in Government
: CISCO
: Center for Statistical Ecology and Environmental Statistics
: CIMIC
Publisher
Bibliometrics
Downloads (6 Weeks): 16,   Downloads (12 Months): 89,   Citation Count: 0
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ABSTRACT

A large portion of the government, business, cultural, and scientific digital data being created today needs to be archived and preserved for future use of periods ranging from a few years to decades and sometimes centuries. A fundamental requirement of a long term archive is to ensure the integrity of its holdings. In this paper, we develop a new methodology to address the integrity of long term archives using rigorous cryptographic techniques. Our approach involves the generation of a small-size integrity token for each digital object to be archived, and some cryptographic summary information based on all the objects handled within a dynamic time period. We present a framework that enables the continuous auditing of the holdings of the archive depending on the policy set by the archive. Moreover, an independent auditor will be able to verify the integrity of every version of an archived digital object as well as link the current version to the original form of the object when it was ingested into the archive. We built a prototype system that is completely independent of the archive's underlying architecture, and tested it on large scale data. We include in this paper some preliminary results on the validation and performance of our prototype.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Sangchul Song: colleagues
Joseph JaJa: colleagues