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書名 What should be classified? : a framework with application to the Global Force Management Data Initiative / Martin C. Libicki [and others]
出版項 Santa Monica, CA : RAND Corporation, 2010
國際標準書號 9780833050014
book jacket
館藏地 索書號 處理狀態 OPAC 訊息 條碼
 歐美所圖書館3F西文書區  355.6879 W5567 2010    在架上  -  30500101435405
說明 xx, 88 pages : illustrations ; 24 cm
text txt rdacontent
unmediated n rdamedia
volume nc rdacarrier
系列 Rand Corporation monograph series ; MG-989-JS
Rand Corporation monograph series ; MG-989-JS
附註 "Prepared for the Joint Staff J-8."
For its operational planning and budget programming, the Department of Defense (DoD) needs frequent access to current, detailed data on authorized force structures for all the services. Having users aggregate this information themselves was difficult, time consuming, and error prone. Hence, DoD launched the Global Force Management Data Initiative (GFM DI). While most of the data from the GFM DI are unclassified, the fact that it facilitates data aggregation raised concerns about what a potential adversary might be able to do with access to it and whether it would be better to classify such data and store it exclusively on the secure network. The authors address this question by looking at why material should or should not be classified, concluding that classification is warranted only (1) if it reduces the amount of information available to adversaries, (2) if the information kept from adversaries would tell them something they did not know, (3) if they could make better decisions based on this information, and (4) if such decisions would harm the United States. Using this framework, the authors balance the risks GFM DI poses against the costs to DoD of not having this information readily available to its own analysts. The authors conclude that overall classification is not necessary but suggest that some limited subsets may warrant additional protection
Includes bibliographical references (pages 83-88)
Introduction -- A framework for classification decisions -- The Global Force Management Data Initiative and its effects -- Potential security concerns and the possible benefits of classification -- Concluding observations and recommendations
Approved for public release; distribution unlimited
Also available via the Internet
主題 United States. Department of Defense -- Data processing
United States. Department of Defense -- Information resources management
Defense information, Classified -- United States
Security classification (Government documents) -- United States
Alt Author Libicki, Martin C
Rand Corporation
National Defense Research Institute (U.S.)
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