Defining information flow quantity.

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Bibliographic Details
Title: Defining information flow quantity.
Authors: Lowe, Gavin1 gavin.lowe@comlab.ox.ac.uk
Source: Journal of Computer Security. 2004, Vol. 12 Issue 3/4, p619-653. 35p. 1 Chart.
Subjects: Information processing, CSP (Computer program language), Computer security, Computer science
Abstract: We extend definitions of information flow so as to quantify the amount of information passed; in other words, we give a formal definition of the capacity of covert channels. Our definition uses the process algebra CSP, and is based upon counting the number of different behaviours of a high level user that can be distinguished by a low level user. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Computer Security is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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PubType: Academic Journal
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  Data: We extend definitions of information flow so as to quantify the amount of information passed; in other words, we give a formal definition of the capacity of covert channels. Our definition uses the process algebra CSP, and is based upon counting the number of different behaviours of a high level user that can be distinguished by a low level user. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Computer Security is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.3233/JCS-2004-123-410
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      – Code: eng
        Text: English
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        StartPage: 619
    Subjects:
      – SubjectFull: Information processing
        Type: general
      – SubjectFull: CSP (Computer program language)
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              Text: 2004
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