@@ -1168,18 +1168,26 @@ <h3>Content Distribution Networks</h3>
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< h3 > Decoy Values</ h3 >
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< p >
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- The use of decoy values in status lists by < a > issuers</ a > can increase the
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- privacy of < a > subjects</ a > by further hiding the size of the group associated
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- with a status list as well as when values in the list change. When employing
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- decoy values, it is important to ensure that the decoys behave like real
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- entries in the group. For example, if a decoy is used for revocation, it would
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- be strange to flip the decoy value to "unrevoked" when that is not how the
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- rest of the revocation values associated with real entries behave. Similarly,
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- changing the decoy values at times and numbers that do not align with the way
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- real entries behave can enable statistical analysis to separate the real
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- entries from the decoy entries. While algorithms for employing decoy values
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- are out of scope for this specification, the usage of decoy values is an
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- important part of an < a > issuer's</ a > privacy protections for their
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+ The use of decoy values in status lists by < a > issuers</ a > can, when used
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+ properly, increase the privacy of < a > subjects</ a > by further hiding the size of
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+ the group associated with a status list as well as when values in the list
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+ change. It is also possible to use too many decoys, thus reducing the group
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+ privacy size by the number of decoys added to a group. The proper number of
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+ decoys to use is a function of the desired group privacy size, the randomness
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+ of the distribution of entries in the set, and ensuring that entities watching
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+ the list cannot determine which entries are real and which ones are decoys as
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+ they change throughout time.
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+ </ p >
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+ < p >
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+ When employing decoy values, it is important to ensure that the decoys
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+ behave like real entries in the group. For example, if a decoy is used for
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+ revocation, it would be strange to flip the decoy value to "unrevoked" when that
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+ is not how the rest of the revocation values associated with real entries
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+ behave. Similarly, changing the decoy values at times and numbers that do not
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+ align with the way real entries behave can enable statistical analysis to
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+ separate the real entries from the decoy entries. While algorithms for employing
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+ decoy values are out of scope for this specification, the usage of decoy values
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+ can be an important part of an < a > issuer's</ a > privacy protections for their
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< a > subjects</ a > .
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</ p >
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</ section >
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